tag:blogger.com,1999:blog-90329085879329153832024-03-19T00:19:51.020-07:00Business IntelligenceBusiness Intelligence, Data Mining, Data Analysis and Predictive AnalyticsAnonymoushttp://www.blogger.com/profile/04679847439381535878noreply@blogger.comBlogger98125tag:blogger.com,1999:blog-9032908587932915383.post-82538979819157849152023-02-04T00:33:00.003-08:002023-02-05T00:26:36.987-08:00Business Intelligence in the Food Industry: A Game Changer<p> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjW5I6b44mjKag7yFhM-hfXJAQRK96Rktpw89JYgdGT4tSs0zcW1FonYeztbj4n0t1F_O1VkNNXGzWiF9-9EgbtxCarFp6Tt-sdUK7u1mf2bMJg8-I4HvPCs1hyoaiF6MBAjbI6OlqnQm9du9U-HoiTJKoiek2jAC3iY4T1TU_snzZMCnKgl1W2GEnzMw/s1920/Food_and_Beverage_Industry_IG.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1080" data-original-width="1920" height="360" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjW5I6b44mjKag7yFhM-hfXJAQRK96Rktpw89JYgdGT4tSs0zcW1FonYeztbj4n0t1F_O1VkNNXGzWiF9-9EgbtxCarFp6Tt-sdUK7u1mf2bMJg8-I4HvPCs1hyoaiF6MBAjbI6OlqnQm9du9U-HoiTJKoiek2jAC3iY4T1TU_snzZMCnKgl1W2GEnzMw/w640-h360/Food_and_Beverage_Industry_IG.jpg" width="640" /></a></div><br /><p></p><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; background-color: #f7f7f8; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; color: #374151; font-family: Söhne, ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, Ubuntu, Cantarell, "Noto Sans", sans-serif, "Helvetica Neue", Arial, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 16px; margin: 1.25em 0px; white-space: pre-wrap;">The food industry is one of the most critical and dynamic sectors in the global economy. It requires businesses to stay ahead of the competition, respond to the changing demands of customers, and maintain food safety standards while delivering high-quality products. This is where business intelligence (BI) comes into play.</p><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; background-color: #f7f7f8; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; color: #374151; font-family: Söhne, ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, Ubuntu, Cantarell, "Noto Sans", sans-serif, "Helvetica Neue", Arial, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 16px; margin: 1.25em 0px; white-space: pre-wrap;">Business intelligence is a set of strategies, technologies, and practices that help organizations collect, process, and analyze data to make informed decisions. In the food industry, BI enables companies to get a better understanding of their customers, market trends, and supply chain, leading to improved operations and higher profits.</p><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; background-color: #f7f7f8; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; color: #374151; font-family: Söhne, ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, Ubuntu, Cantarell, "Noto Sans", sans-serif, "Helvetica Neue", Arial, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 16px; margin: 1.25em 0px; white-space: pre-wrap;">Here are some ways in which business intelligence is transforming the food industry:</p><ol style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; background-color: #f7f7f8; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; color: #374151; counter-reset: item 0; display: flex; flex-direction: column; font-family: Söhne, ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, Ubuntu, Cantarell, "Noto Sans", sans-serif, "Helvetica Neue", Arial, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 16px; list-style-image: initial; list-style-position: initial; margin: 1.25em 0px; padding: 0px 0px 0px 1rem; white-space: pre-wrap;"><li style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px; padding-left: 0.375em;"><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px;">Better Customer Insights: By gathering data from various sources such as market research, customer feedback, and sales data, companies can gain valuable insights into their customers' preferences, buying habits, and opinions. This information helps them tailor their products, marketing strategies, and customer service to meet the needs of their customers.</p></li><li style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px; padding-left: 0.375em;"><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px;">Supply Chain Optimization: BI helps companies monitor their supply chain to ensure they are getting the best deals, reducing waste, and ensuring the quality of their ingredients. This leads to improved efficiency and lower costs, which are crucial factors in the highly competitive food industry.</p></li><li style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px; padding-left: 0.375em;"><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px;">Food Safety and Compliance: Food safety is a top priority in the food industry. BI helps companies track and monitor food safety standards and regulations, ensuring they are in compliance with industry standards. This not only protects customers but also protects the company's reputation and bottom line.</p></li><li style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px; padding-left: 0.375em;"><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px;">Predictive Analytics: BI allows companies to use data to predict future trends and make informed decisions. In the food industry, this can include predicting demand for certain products, identifying potential food safety issues, and anticipating supply chain disruptions.</p></li><li style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px; padding-left: 0.375em;"><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; margin: 0px;">Improved Decision Making: With the vast amounts of data available, it can be challenging to make informed decisions. BI helps companies by providing real-time data and insights, enabling them to make data-driven decisions quickly and with confidence.</p></li></ol><p style="--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-ring-color: rgba(59,130,246,0.5); --tw-ring-offset-color: #fff; --tw-ring-offset-shadow: 0 0 transparent; --tw-ring-offset-width: 0px; --tw-ring-shadow: 0 0 transparent; --tw-rotate: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-shadow-colored: 0 0 transparent; --tw-shadow: 0 0 transparent; --tw-skew-x: 0; --tw-skew-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; background-color: #f7f7f8; border: 0px solid rgb(217, 217, 227); box-sizing: border-box; color: #374151; font-family: Söhne, ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, Ubuntu, Cantarell, "Noto Sans", sans-serif, "Helvetica Neue", Arial, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 16px; margin: 1.25em 0px 0px; white-space: pre-wrap;">In conclusion, business intelligence is transforming the food industry by providing valuable insights into customers, the market, and supply chain operations. By using BI, food companies can improve their operations, make better decisions, and ultimately, increase their profits. Whether you are a small local business or a multinational corporation, implementing BI strategies can help you stay ahead of the competition and thrive in today's rapidly changing market.</p>Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-46877257985747957802016-01-09T16:19:00.002-08:002016-03-20T04:06:22.368-07:00Treehouse courses<br />
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</div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; vertical-align: baseline;"><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">These tips are provided by </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.datasciencecentral.com/profiles/blogs/my-data-science-journey" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">Dr Granville</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">, who brings 20 years of varied data-intensive experience working with successful start-ups, small companies across various industries, and eBay, Visa, Microsoft, GE and Wells Fargo.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 22.5pt; vertical-align: baseline;"><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK; mso-no-proof: yes;"><v:shapetype coordsize="21600,21600" filled="f" id="_x0000_t75" o:preferrelative="t" o:spt="75" path="m@4@5l@4@11@9@11@9@5xe" stroked="f"> <v:stroke joinstyle="miter"> <v:formulas> <v:f eqn="if lineDrawn pixelLineWidth 0"> <v:f eqn="sum @0 1 0"> <v:f eqn="sum 0 0 @1"> <v:f eqn="prod @2 1 2"> <v:f eqn="prod @3 21600 pixelWidth"> <v:f eqn="prod @3 21600 pixelHeight"> <v:f eqn="sum @0 0 1"> <v:f eqn="prod @6 1 2"> <v:f eqn="prod @7 21600 pixelWidth"> <v:f eqn="sum @8 21600 0"> <v:f eqn="prod @7 21600 pixelHeight"> <v:f eqn="sum @10 21600 0"> </v:f></v:f></v:f></v:f></v:f></v:f></v:f></v:f></v:f></v:f></v:f></v:f></v:formulas> <v:path gradientshapeok="t" o:connecttype="rect" o:extrusionok="f"> <o:lock aspectratio="t" v:ext="edit"> </o:lock></v:path></v:stroke></v:shapetype><v:shape alt="https://media.licdn.com/mpr/mpr/p/5/005/099/0d4/2c29d4a.png" id="Picture_x0020_1" o:spid="_x0000_i1025" style="height: 134.4pt; mso-wrap-style: square; visibility: visible; width: 441pt;" type="#_x0000_t75"> <v:imagedata o:title="2c29d4a" src="file:///D:\Users\bismaili\AppData\Local\Temp\msohtmlclip1\01\clip_image001.jpg"> </v:imagedata></v:shape></span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">1.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Leverage external data sources: tweets about your company or your competitors, or data from your vendors (for instance, customizable newsletter eBlast statistics available via vendor dashboards, or via submitting a ticket)<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">2.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Nuclear physicists, mechanical engineers, and bioinformatics experts can make great data scientists.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">3.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">State your problem correctly, and use sound metrics to measure yield provided by data science initiatives.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">4.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Use the right KPIs (key metrics) and the right data from the beginning, in any project. Changes due to bad foundations are very costly. This requires careful analysis of your data to create useful databases.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">5.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Fast delivery is better than extreme accuracy. All data sets are dirty anyway. </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Find the perfect compromise between perfection and fast return.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">6.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">With big data, strong signals (extremes) will usually be noise. </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://bit.ly/Ssj8Hx" target="_blank"><span style="border: none windowtext 1.0pt; color: #7b539d; mso-border-alt: none windowtext 0cm; padding: 0cm;">Here's a solution</span></a>.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">7.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Big data has less value than useful data.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">8.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Use big data from third party vendors, for competitive intelligence.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">9.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">You can build cheap, great, scalable, robust tools pretty fast, without using </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.datasciencecentral.com/profiles/blogs/10-types-of-regressions-which-one-to-use" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">old-fashioned statistical science</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">. </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Think about <a href="http://www.datasciencecentral.com/profiles/blogs/black-box-confidence-intervals-excel-and-perl-implementations-det" target="_blank"><span style="border: none windowtext 1.0pt; color: #7b539d; mso-border-alt: none windowtext 0cm; padding: 0cm;">model-free techniques</span></a>.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">10.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Big data is easier and </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.datasciencecentral.com/profiles/blogs/big-data-is-cheap-and-easy" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">less costly than you think</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">. </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Get the right tools! <a href="http://www.datasciencecentral.com/forum/topics/how-to-choose-an-analytic-tool" target="_blank"><span style="border: none windowtext 1.0pt; color: #7b539d; mso-border-alt: none windowtext 0cm; padding: 0cm;">Here's how to get started</span></a>.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">11.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Correlation is not causation. </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.datasciencecentral.com/profiles/blogs/tutorial-how-to-detect-spurious-correlations-and-how-to-find-the-" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">This article</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"> might help you with this issue.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">12.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">You don't have to store all your data permanently. Use smart compression techniques, and keep statistical summaries only, for old data. Don't forget to adjust your metrics when your data changes,</span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.freshpatents.com/-dt20110630ptan20110161492.php" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">to keep consistency for trending purposes</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">13.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">A lot can be done without databases, </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.datasciencecentral.com/group/research/forum/topics/practical-illustration-of-map-reduce-hadoop-style-on-real-data" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">especially for big data</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">14.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Always include EDA and DOE (exploratory analysis / design of experiment) early on in any data science projects. Always create a </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.analyticbridge.com/profiles/blogs/why-and-how-you-should-build-a-data-dictionary-for-big-data-sets" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">data dictionary</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">. And follow the traditional </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.datasciencecentral.com/profiles/blogs/life-cycle-of-data-science-projects" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">life cycle of any data science project</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">15.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Data can be used for many purposes:<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 60.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level2 lfo1; tab-stops: list 72.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span style="color: #4d4f51; font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: Symbol; mso-fareast-language: NO-BOK;">·<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">quality assurance<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 60.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level2 lfo1; tab-stops: list 72.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: Symbol; font-size: 10.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Symbol; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: Symbol; mso-fareast-language: NO-BOK;">·<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">to find actionable patterns (stock trading, fraud detection)<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 60.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level2 lfo1; tab-stops: list 72.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: Symbol; font-size: 10.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Symbol; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: Symbol; mso-fareast-language: NO-BOK;">·<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">for resale to your business clients<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 60.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level2 lfo1; tab-stops: list 72.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: Symbol; font-size: 10.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Symbol; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: Symbol; mso-fareast-language: NO-BOK;">·<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">to optimize decisions and processes (operations research)<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 60.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level2 lfo1; tab-stops: list 72.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: Symbol; font-size: 10.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Symbol; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: Symbol; mso-fareast-language: NO-BOK;">·<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">for investigation and discovery (IRS, litigation, fraud detection, root cause analysis)<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 60.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level2 lfo1; tab-stops: list 72.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: Symbol; font-size: 10.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Symbol; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: Symbol; mso-fareast-language: NO-BOK;">·<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">machine-to-machine communication (automated bidding systems, automated driving)<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 60.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level2 lfo1; tab-stops: list 72.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: Symbol; font-size: 10.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Symbol; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: Symbol; mso-fareast-language: NO-BOK;">·<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">predictions (sales forecasts, growth and financial predictions, weather)<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">16.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Don't dump Excel. </span><span style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"><a href="http://www.datasciencecentral.com/profiles/blogs/sample-data-science-project-optimizing-all-business-levers-simult" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; mso-ansi-language: EN-US; mso-border-alt: none windowtext 0cm; padding: 0cm;">Embrace light analytics</span></a></span><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: 3.75pt; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">17.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Data + models + gut feelings + intuition is the perfect mix. Don't remove any of these ingredients in your decision process.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">18.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Leverage the power of compound metrics: KPIs derived from database fields, that have a far better</span><a href="http://www.datasciencecentral.com/profiles/blogs/feature-selection-based-on-predictive-power" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-border-alt: none windowtext 0cm; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK; padding: 0cm;">predictive power</span></a><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"> than the original database metrics. For instance your database might include a single keyword field but does not discriminate between user query and search category (sometimes because data comes from various sources and is blended together). Detect the issue, and create a new metric called keyword type - or data source. Another example is </span><a href="http://www.datasciencecentral.com/group/research/forum/topics/internet-topology-mapping" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-border-alt: none windowtext 0cm; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK; padding: 0cm;">IP address category</span></a><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">, a fundamental metric that should be created and added to all digital analytics projects.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">19.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">When do you need true real time processing? When fraud detection is critical, or when processing sensitive transactional data (credit card fraud detection, 911 calls). Other than that, <i><span style="border: none windowtext 1.0pt; mso-border-alt: none windowtext 0cm; padding: 0cm;">delayed analytics</span></i>(with a latency of a few seconds to 24 hours) is good enough.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">20.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Make sure your sensitive data is well protected. Make sure your algorithms can not be tampered by criminal hackers or business hackers (spying on your business and stealing everything they can, legally or illegally, and jeopardizing your algorithms - which translates in severe revenue loss). An example of business hacking can be found in section 3 i</span><a href="http://www.datasciencecentral.com/profiles/blogs/could-fake-reviews-kill-amazon" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-border-alt: none windowtext 0cm; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK; padding: 0cm;">n this article</span></a><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">21.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Blend multiple models together to detect many types of patterns. Average these models. </span><a href="http://www.datasciencecentral.com/profiles/blogs/hidden-decision-trees-revisited" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-border-alt: none windowtext 0cm; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK; padding: 0cm;">Here's a simple example of model blending</span></a><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">.<o:p></o:p></span></div><div class="MsoNormal" style="background: white; line-height: 18.0pt; margin-bottom: .0001pt; margin-bottom: 0cm; margin-left: 30.0pt; margin-right: 0cm; margin-top: 0cm; mso-list: l0 level1 lfo1; tab-stops: list 36.0pt; text-indent: -18.0pt; vertical-align: baseline;"><!--[if !supportLists]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: inherit; mso-fareast-font-family: inherit; mso-fareast-language: NO-BOK;">22.<span style="font-family: 'Times New Roman'; font-size: 7pt; font-stretch: normal; line-height: normal;"> </span></span><!--[endif]--><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;">Ask </span><a href="http://www.datasciencecentral.com/forum/topics/how-to-choose-an-analytic-tool" target="_blank"><span lang="EN-US" style="border: none windowtext 1.0pt; color: #7b539d; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-border-alt: none windowtext 0cm; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK; padding: 0cm;">the right questions</span></a><span lang="EN-US" style="color: #4d4f51; font-family: "inherit","serif"; font-size: 12.0pt; mso-ansi-language: EN-US; mso-bidi-font-family: Helvetica; mso-fareast-font-family: "Times New Roman"; mso-fareast-language: NO-BOK;"> before purchasing software.<o:p></o:p></span></div><script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script><br />
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<div class="MsoNormal"></div>Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com12tag:blogger.com,1999:blog-9032908587932915383.post-34595474462393111792014-11-05T01:51:00.000-08:002016-03-20T04:09:53.254-07:00Top 10 Big Data Technologies Of Present Times<table border="0" cellpadding="0" cellspacing="0" style="background-color: white; color: #808285; font-family: Arial, Helvetica, sans-serif; font-size: 12px; width: 100%px;"><tbody>
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<tr><td valign="top" width="95%"><span style="font-family: verdana; font-size: x-small;"><b>Over last few years Big Data technologies are getting due attention and there are several trends and innovations in this space in recent times.</b> </span></td><td valign="top" width="2%"> </td><td valign="top" width="23%"></td></tr>
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<tr><td valign="top"><strong><span style="color: black; font-family: verdana; font-size: x-small;">Wednesday, October 22, 2014</span></strong>: <span style="color: black; font-family: verdana; font-size: x-small;">Big Data is a concept which is quite broad and comprises several trends and technology developments. Over last few years Big Data technologies are getting due attention and there are several trends and innovations in this space in recent times. Here we'll discuss top ten emerging Big Data technologies.<br />
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<div align="center"></div><span style="color: black; font-family: verdana; font-size: x-small;"><b>1. Column-oriented databases: </b><br />
<br />
Traditional databases are excellent in online transaction processing but when it comes to query performance while data volumes grow, these databases fall short on performance. The new column-oriented databases store data and focuses on columns and not rows. It allows huge data compression and faster query times.<br />
<br />
<b>2. Streaming Big Data analytics: </b><br />
<br />
There are several projects in this section including Storm, Spark, Data Torrent, Spring XD and SQL Stream. Apache Storm is an open source distributed real-time computation system which simplifies streams of data and real-time processing. Spark is a data processing platform which is compatible with Hadoop. DataTorrent is a real-time streaming platform which enables businesses to perform data processing. Spring XD supports streams for event driven data while SQLStream provides a distributed stream processing platform for streaming analytics, visualization and continuous integration of machine data.<br />
<br />
<b>3. Schema-less databases, or NoSQL databases: </b><br />
<br />
This database category includes key-value stores and document stores. This database focuses on storage and retrieval of large volumes of unstructured, semi-structured or even structured data.<br />
<br />
<b>4. SQL-in-Hadoop: </b><br />
<br />
This technology includes Apache Hive, Shark, Apache Drill, Presto and Phoenix among many others. It helps in making queries and it also manages large datasets in distributed storage. Shark is a data warehouse system which supports Hive's query language. Apache Drill is an Apache incubation project and it's designed for scalability. It's backed by MapR. Presto is an open source distributed SQL query engine and Phoenix is an open source SQL query engine for Apache Hbase.<br />
<br />
<b>5. MapReduce: </b><br />
<br />
It's a programming paradigm which allows massive job execution scalability against thousands of servers or clusters of servers. Its two tasks are Map task and Reduce task. It converts any input dataset into different set of value pairs while reducing set of tuples.<br />
<br />
<b>6. Hadoop: </b><br />
<br />
Hadoop is an open source platform for handling Big Data which can work with multiple data sources. It has other applications too and it's largely used for changing data like location-based data from weather or traffic sensors, web-based or social media data or machine-to-machine transactional data.<br />
<br />
<b>7. PIG: </b><br />
<br />
PIG brings the Hadoop project close to developers and business users and it's used by Perl like language allowing query execution over data stored on a Hadoop cluster. PIG was a project by Yahoo! But now it's completely open source.<br />
<br />
<b>8. Big Data Lambda Architecture: </b><br />
<br />
Lambda Architecture is a hybrid platform which combines real-time data and pre-computed data to provide a near-real time view of the data at all times. Its frameworks include Summingbird by Twitter and Lambdoop.<br />
<br />
<b>9. PLATFORA: </b><br />
<br />
It almost copies Hadoop and it requires developer knowledge to operate. It's a platform which turns queries into Hadoop jobs with immediate effect and creates an abstraction layer to simplify the datasets in Hadoop.<br />
<br />
<b>10. SkyTree: </b><br />
<br />
It's a high performance machine learning data analytics platform which handles Big Data. It's an essential part of Big Data.<br />
<br />
<b>Courtesy: TechRepublic and InfoQ </b><br />
<br />
<span style="color: black;"><b><i>Sanchari Banerjee, EFYTIMES News Network</i></b></span> </span></td></tr>
</tbody></table></td></tr>
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</script>Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com5tag:blogger.com,1999:blog-9032908587932915383.post-33109375065456598972014-06-20T05:59:00.002-07:002023-02-03T16:36:06.527-08:00Must read before attending any data science interview<script async="" src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script><ins class="adsbygoogle" data-ad-client="ca-pub-2977687318630212" data-ad-slot="7108166283" style="display: inline-block; height: 90px; width: 728px;"><b><span style="font-family: arial;">Vincent Granville</span></b></ins><span style="color: #454545; font-family: Arial, "Helvetica Neue", Helvetica, sans-serif; font-size: 1em;">Here is </span><a href="http://www.datasciencecentral.com/group/resources/forum" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; font-family: Arial, "Helvetica Neue", Helvetica, sans-serif; font-size: 1em; margin: 0px; outline: 0px; padding: 0px; text-decoration-line: none; vertical-align: baseline;">fundamental resources</a><span style="color: #454545; font-family: Arial, "Helvetica Neue", Helvetica, sans-serif; font-size: 1em;"> that you should check out before your next data science interview. Read these documents thoroughly to get prepared, impress your interviewer, boost your chances to be hired, and get a bigger paycheck if hired:</span><div class="xg_module_body" style="background-attachment: scroll; background-clip: initial; background-image: none; background-origin: initial; background-position: 0px 0px; background-repeat: no-repeat; background-size: initial; border: 0px; clear: left; color: #454545; font-family: Arial, "Helvetica Neue", Helvetica, sans-serif; font-size: 13px; line-height: 16.9px; margin: 0px 0px 1px; outline: 0px; overflow-wrap: break-word; padding: 5px; position: relative; vertical-align: baseline; word-wrap: break-word;"><div class="postbody" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; clear: left; font-size: 1.2em; margin: 0px 0px 0.7em; outline: 0px; overflow: hidden; padding: 0px; text-overflow: ellipsis; vertical-align: baseline;"><div class="xg_user_generated" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; margin: 5px 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><div style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; margin-bottom: 0.5em; min-height: 1em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://careers.analytictalent.com/jobs/search/results" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank"><br /></a></div><div style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; margin-bottom: 0.5em; min-height: 1em; outline: 0px; padding: 0px; vertical-align: baseline;"><strong style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">Resources to read 2-3 days before your job interview:</strong></div><ul style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: none; margin: 0px 0px 0.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/feature-selection-based-on-predictive-power" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Fast Combinatorial Feature Selection with New Definition of Predict...</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/group/resources/forum/topics/big-data-poster" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Big Data Poster</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/group/resources/forum/topics/data-science-chea-sheets" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Data Science Cheat Sheet</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.hadoop360.com/blog/16-resources-to-learn-and-understand-hadoop" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">16 resources to learn and understand Hadoop</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;">A practical<a href="http://www.hadoop360.com/blog/practical-illustration-of-map-reduce-hadoop-style-on-real-data" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;"> illustration of Map-Reduce (Hadoop-style), on real data</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/why-and-how-you-should-build-a-data-dictionary-for-big-data-sets" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Why and how you should build a data dictionary for big data sets</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/what-mapreduce-can-t-do" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">What MapReduce can't do</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/the-curse-of-big-data" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">The curse of big data</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.bigdatanews.com/profiles/blogs/fast-clustering-algorithms-for-massive-datasets" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Fast clustering algorithms for massive datasets</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/life-cycle-of-data-science-projects" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Life Cycle of Data Science Projects</a></li>
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<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/66-job-interview-questions-for-data-scientists" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">66 job interview questions for data scientists</a></li>
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<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/why-companies-can-t-find-analytic-talent" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Why Companies can't find analytic talent</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/a-data-scientist-salary-history" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Salary history and career path of a data scientist</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/group/salary-trends-and-reports/forum/topics/2014-analytics-salary-guide" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">2014 Analytics Salary Guide</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/first-steps-on-the-pathway-to-becoming-a-data-scientist-the-data?xg_source=activity" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">The data science toolkit</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/6000-companies-hiring-data-scientists" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">6000 Companies Hiring Data Scientists</a></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-science-programs-and-training-currently-available" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Science programs and training currently available</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-science-connected-fields-pioneers" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Science: Connected Fields, Pioneers</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-science-connected-fields-pioneers" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank"></a><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/types-of-data-scientists" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Clustering data scientists</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/salary-surveys-for-data-scientists-and-related-job-titles" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Salary surveys for data scientists and related job titles</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/difference-between-data-engineers-and-data-scientists?xg_source=activity" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Difference between data engineers and data scientists</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-scientist-vs-statistician" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Scientist vs. Statistician</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/marrying-computer-science-statistics-and-domain-expertize" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Marrying computer science, statistics and domain expertize</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-scientist-core-skills" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Scientist Core Skills</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/r-tutorial-for-beginners-a-quick-start-up-kit" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">R Tutorial for Beginners: A Quick Start-Up Kit</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/the-death-of-the-statistician" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">The death of the statistician</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/group/salary-trends-and-reports/forum/topics/data-science-big-data-salary-survey-by-burtch-works" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Science / Big Data Salary Survey by Burtch Works</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/demand-for-data-scientists-and-the-datification-of-business" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Demand for Data Scientists and the Datification of Business</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/group/data-science-apprenticeship/forum/topics/update-about-our-data-science-apprenticeship" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Science Apprenticeship</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/group/analyticscourses/forum/topics/data-science-university-programs" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Map of data science university programs</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/job-titles-for-data-scientists" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Job titles for data scientists</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/how-to-better-compete-with-other-data-scientists" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">How to better compete with other data scientists</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/vertical-vs-horizontal-data-scientists" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Horizontal vs. Vertical Data Scientists</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-scientists-vs-data-engineers" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Scientists vs. Data Engineers</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/extreme-data-science" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Extreme Data Science</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/how-to-detect-a-pattern-problem-and-solution" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Test your analytical intuition</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/are-data-scientists-overpaid" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Are data scientists overpaid?</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-scientists-billed-300-hour-on-kaggle" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Science projects billed $300/hour on Kaggle</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/the-face-of-the-new-university" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">The Face of the New University</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/fake-data-science" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Fake data science</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/group/analyticscourses/forum/topics/free-courses-from-top-universities-coursera-com" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Free courses from top universities</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/time-period-for-analytical-positions-recruitment" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Time Period for Analytical Positions Recruitment</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-scientists-making-300-000-a-year-wall-street-journal" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Data scientists making $300,000 a year</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/berkeley-course-on-data-science" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Berkeley course on Data Science</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/group/salary-trends-and-reports/forum/topics/how-much-does-a-data-scientist-make-at-facebook" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">How much does a data scientist make at Facebook?</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/forum/topics/can-data-scientists-replace-business-analysts" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;">Can data scientists replace business analysts?</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/debunking-lack-of-analytic-talent" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Debunking lack of analytic talent</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/how-maths-should-be-taught-in-high-school" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">How maths should be taught in high school</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/how-do-i-become-a-data-scientist-1" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">How do I become a data scientist?</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.analyticbridge.com/profiles/blogs/the-amateur-data-scientist-and-her-projects" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">The amateur data scientist and her projects</a></span></li>
<li style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 1em; list-style: square; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-2" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border: 0px; font-size: 10pt; line-height: 1.2; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://www.datasciencecentral.com/profiles/blogs/data-scientist-demographics" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #3c78a7; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Scientist Demographics</a></span></li>
</ul></div></div></div>Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com26tag:blogger.com,1999:blog-9032908587932915383.post-14708336584447821502014-03-23T06:36:00.001-07:002014-03-23T06:36:31.820-07:00MH370 flight mystery may have an answer
<br />
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-US" style="font-size: 14pt; line-height: 107%;"><span style="font-family: Calibri;">Data Science perspective: MH370
flight data are crucial</span></span></b></div>
<br />
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<span lang="EN-US"><span style="font-family: Calibri;">It has been a while and still no answer for
the missing airplane of flight MH370. This case may give many possibilities, so
guessing by trying each of them is painful and may lead to wrong directions,
time consuming and frustrations. So simulating both physical and mathematical
model maybe an answer<o:p></o:p></span></span></div>
<br />
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US" style="font-size: 12pt; line-height: 107%;"><span style="font-family: Calibri;">Mathematical
Model<o:p></o:p></span></span></div>
<br />
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"><span style="font-family: Calibri;">Data Science is newly established profession
to solve problems with data insights in high volume of data, so in this case like
airplane information systems, weather condition, pattern recognition, path
selections etc.</span></span></div>
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"></span><span lang="EN-US"><span style="font-family: Calibri;">Based in the data above, Data Scientists
like me can build specific models to adapt exact or similar scenarios of the
missing plane in the line MH370</span></span></div>
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"><span style="font-family: Calibri;">This may give as good picture what may
happen to flight, where may landed, what weather condition we had on that time,
what other circumstances occurred and what impact they had over the plane.<o:p></o:p></span></span></div>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEYtAULiHXYHpls2CAYL5IyWux8mX8ye-3RcOlfyuuEwD2BN_otUr1v1EpOv8IGwP85C8p948mPAE_VcM5KEcvBNJGebLqSuQjkrDs43zVWW3ns3o-lpgnbbDAYlkccIPvmW1a4muYtbcG/s1600/mh370.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgEYtAULiHXYHpls2CAYL5IyWux8mX8ye-3RcOlfyuuEwD2BN_otUr1v1EpOv8IGwP85C8p948mPAE_VcM5KEcvBNJGebLqSuQjkrDs43zVWW3ns3o-lpgnbbDAYlkccIPvmW1a4muYtbcG/s1600/mh370.png" height="425" width="640" /></a></div>
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
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<br />
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"><span style="font-family: Calibri;">Picture: Possible routes<o:p></o:p></span></span></div>
<br />
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"><span style="font-family: Calibri;">If Malaysian Airport can provide with
specific technical information about MH370 airplane, historical data of all
MH370 flights, we may find important patterns to solve this mystery. Period
between departure and lost signal may give us the distance compared to average distance
of all MH370 flights on the same period. Adding weather condition may help us
to segments the other MH370 flights that had same weather condition to seek
specific scenarios under same weather condition. Route lines are similar to all
flights in the same airline, but segmenting them to specific conditions of the
missing flight like weather, airplane type, technical conditions, air pressure
etc… may lead us to better targets. Technical check before departure may give
us information of what have been checked or not and if there is room for
possible technical failure. If there is room for failures, we can use data from
all technical failure plan crashes to predict the time occurred the failure by
that distance also segmented to adapt most the missing flight model. </span></span></div>
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"><span style="font-family: Calibri;">Big Data technology provides us with the
power to analyze big and complicated data sets, and there are plenty of
professionals to do so.<o:p></o:p></span></span></div>
<br />
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US" style="font-size: 12pt; line-height: 107%;"><span style="font-family: Calibri;">Physical
model- Simulation<o:p></o:p></span></span></div>
<br />
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"><span style="font-family: Calibri;">I am not the expert of the field but it can
be very smart to build a flight simulation of MH370 based on the mathematical
model that we provided here and including other external data that have impact
on the fight itself. Sometimes visualization may bring in table other factors
that may be decisive in solving the mystery.</span></span></div>
<div class="MsoNormal" style="margin: 0cm 0cm 8pt;">
<span lang="EN-US"><span style="font-family: Calibri;">These represent alternative approaches to
what may help involved institutions to solve this case and I hope they may consider
these.<o:p></o:p></span></span></div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-22251818516269223472014-01-29T02:40:00.002-08:002014-02-09T07:11:52.065-08:00Tableau explain why FC Barcelona is still the best team in Spain (and the whole World)<b><br />
Introduction</b><br />
<b><br />
</b> Futbol Club Barcelona, also known as Barça is a professional football club, based in Barcelona, Catalonia, Spain. Founded in 1899 by a group of Swiss, English and Catalan footballers led by Joan Gamper, the club has become a symbol of Catalan culture and Catalanism, hence the motto "Més que un club" (More than a club). Unlike many other football clubs, the supporters own and operate Barcelona. It is the world's second-richest football club in terms of revenue, with an annual turnover of $613 million and the third most valuable sports team, worth $2.6 billion.The official Barcelona anthem is the "Cant del Barça" and it is knows to all 480 000 000 fans around the World.<br />
<br />
<b>Team Philosophy</b><br />
<b><br />
</b> <span style="background-color: white;"><span style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">Johan Cruyff and Charly Rexach returned to Barcelona in 1988 and began to install a philosophy that would change the way people play and view football forever. Both Cruyff and Rexach admit that it wasn't a completely new philosophy. Admitting that it was one adapted from ideas given to them by Michels, and one which many believe had been given to Europe by the Hungarian side of the early 1950s. The foundation of this philosophy was, and still is, built upon the basic template of </span><i style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">touch, technique, maintaining possession, </i><span style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">and</span><i style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;"> stretching the pitch with continuous circulation of the ball (Tiqui-Taka)</i><span style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">.</span><i style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;"> </i><span style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">Elements that, at the time, were not valued by many Barcelona supporters (Hunter, 2012)</span></span><br />
<br />
<iframe allowfullscreen="" frameborder="0" height="315" src="//www.youtube.com/embed/lGuaQ1khn2k" width="420"></iframe><br />
<br />
The chart down (OptaPro) shows the power of Barcelona over other La Liga teams, its play philosophy of short passes and ball possession.<br />
<br />
<br />
<img alt="La Liga" src="http://www.optasportspro.com/media/148983/laliga_496x250.jpg" height="321" width="640" /><br />
<br />
<b><br />
</b> <b>Team Discipline and attractivness (support by fans)</b><br />
<b><br />
</b> <b><script src="http://public.tableausoftware.com/javascripts/api/viz_v1.js" type="text/javascript"></script></b><br />
<div class="tableauPlaceholder" style="height: 955px; width: 654px;">
<noscript><a href='#'><img alt=' ' src='http://public.tableausoftware.com/static/images/G4/G4RZQ7PXT/1_rss.png' style='border: none' /></a></noscript><b><object class="tableauViz" height="955" style="display: none;" width="654"><param name='host_url' value='http%3A%2F%2Fpublic.tableausoftware.com%2F' /><param name='path' value='shared/G4RZQ7PXT' / ><param name='toolbar' value='yes' /><param name='static_image' value='http://public.tableausoftware.com/static/images/G4/G4RZQ7PXT/1.png' / ><param name='animate_transition' value='yes' /><param name='display_static_image' value='yes' /><param name='display_spinner' value='yes' /><param name='display_overlay' value='yes' /><param name='display_count' value='yes' /></object></b></div>
<div style="color: black; font-family: verdana, helvetica, arial, sans-serif; font-size: 8pt; font-style: normal; font-variant: normal; height: 22px; line-height: normal; padding: 0px 10px 0px 0px; width: 654px;">
<div style="float: right; padding-right: 8px;">
<b><a href="http://www.tableausoftware.com/public/about-tableau-products?ref=http://public.tableausoftware.com/shared/G4RZQ7PXT" target="_blank">Learn About Tableau</a></b></div>
</div>
<b>
</b> <b> </b> <b>Why FC Barcelona is better than any team, this season also?!</b> <script src="http://public.tableausoftware.com/javascripts/api/viz_v1.js" type="text/javascript"></script>
<b>
</b>
<br />
<div class="tableauPlaceholder" style="height: 955px; width: 654px;">
<noscript><a href='#'><img alt=' ' src='http://public.tableausoftware.com/static/images/RX/RXJDHC255/1_rss.png' style='border: none' /></a></noscript><object class="tableauViz" height="955" style="display: none;" width="654"><param name='host_url' value='http%3A%2F%2Fpublic.tableausoftware.com%2F' /><param name='path' value='shared/RXJDHC255' / ><param name='toolbar' value='yes' /><param name='static_image' value='http://public.tableausoftware.com/static/images/RX/RXJDHC255/1.png' / ><param name='animate_transition' value='yes' /><param name='display_static_image' value='yes' /><param name='display_spinner' value='yes' /><param name='display_overlay' value='yes' /><param name='display_count' value='yes' /></object></div>
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</div>
<b>Conclusion</b>
<b>
</b>
<br />
<div style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">
<span style="background-color: white;">With this in mind, it seems that a lot of clubs steal ideas from Barcelona that they see on the surface, such as tactics, and implement them in the short term, but fail to intertwine them into their own specifically moulded model. It is one thing to use Barcelona as inspiration, but it must be remembered that Barcelona's philosophy is tailored to THEIR own needs, no one else's, and the coaching and playing staff have grown together surrounded by it. They have lived by it and through it. Due to Barcelona's on field success, many are using various aspects of the Barcelona model to shape their own coaching methods, training programmes, and playing style etc. Often missing the point that a club philosophy needs to be self defined and fully committed to by all. There are many different styles of playing football, Barcelona have their own unique style of playing, but it should be remembered that this playing style is born out of wider and deeper beliefs in the cultural values of their personal, independent philosophy.</span></div>
<div style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">
<span style="background-color: white;">
</span></div>
<div style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">
<span style="background-color: white;">
</span></div>
<div style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18.200000762939453px; text-align: justify;">
</div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com3tag:blogger.com,1999:blog-9032908587932915383.post-78711336686718439202014-01-24T07:20:00.000-08:002014-01-24T07:20:59.532-08:00Big Data and Data Science Books - A Baker's Dozen<div class="xg_headline xg_headline-img xg_headline-2l" style="border: 0px; color: #666666; font-family: 'Lucida Grande', 'Lucida Sans', Verdana, sans-serif; font-size: 13px; line-height: 16.899999618530273px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline; word-wrap: break-word;">
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Here are 13 informative and inspirational books on Big Data and Data Science. This is definitely not intended to be a comprehensive list (since a complete list of such readings would itself be a form of "Big Data", and consequently the number of possibilities is a nearly uncountable number!<span class="font-size-1" style="border: 0px; font-size: 8pt !important; line-height: 1.2 !important; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">NOTE definition of "uncountable" =</span><span style="border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"><span class="font-size-1" style="border: 0px; font-size: 8pt !important; line-height: 1.2 !important; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;"> an infinite set that contains too many elements to be countable.</span>)</span></div>
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<a href="http://isbn.nu/9781454908272" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">The Human Face of Big Data</a>, by Rick Smolan and Jennifer Erwitt</div>
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<a href="http://isbn.nu/9781449361327" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Science for Business: What you need to know about data mining ...</a>, by Foster Provost and Tom Fawcett</div>
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<li style="border: 0px; font-size: 1em; list-style: decimal; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://isbn.nu/9781118733899" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Big Data Marketing: Engage Your Customers More Effectively and Driv...</a>, by Lisa Arthur</li>
<li style="border: 0px; font-size: 1em; list-style: decimal; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://isbn.nu/9783642280467" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Journeys to Data Mining: Experiences from 15 Renowned Researchers</a>, by Mohamed Medhat Gaber (editor)</li>
<li style="border: 0px; font-size: 1em; list-style: decimal; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://research.microsoft.com/en-us/collaboration/fourthparadigm/" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">The Fourth Paradigm: Data-Intensive Scientific Discovery</a>, by T.Hey, S.Tansley, and K.Tolle (editors)</li>
<li style="border: 0px; font-size: 1em; list-style: decimal; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://isbn.nu/9781934356920" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Seven Databases in Seven Weeks: A Guide to Modern Databases and the...</a>, by Eric Redmond and Jim Wilson</li>
<li style="border: 0px; font-size: 1em; list-style: decimal; margin: 0px 0px 3px 2.5em; outline: 0px; padding: 0px; vertical-align: baseline;"><a href="http://isbn.nu/9780750677967" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Data Mining And Predictive Analysis: Intelligence Gathering And Cri...</a>, by Colleen McCue</li>
</ol>
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</div>
<div style="border: 0px; font-size: 1em; margin-bottom: 0.5em; min-height: 1em; outline: 0px; padding: 0px; vertical-align: baseline;">
And here are two more, as a bonus:</div>
<div style="border: 0px; font-size: 1em; margin-bottom: 0.5em; min-height: 1em; outline: 0px; padding: 0px; vertical-align: baseline;">
14. <a href="http://isbn.nu/9781439873687" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">A Statistical Guide for the Ethically Perplexed</a>, by Lawrence Hubert and Howard Wainer</div>
<div style="border: 0px; font-size: 1em; margin-bottom: 0.5em; min-height: 1em; outline: 0px; padding: 0px; vertical-align: baseline;">
15. <a href="http://isbn.nu/9781118638170" rel="nofollow" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_blank">Too Big To Ignore: The Business Case for Big Data</a><span style="border: 0px; margin: 0px; outline: 0px; padding: 0px; vertical-align: baseline;">, by Phil Simon </span></div>
<div style="border: 0px; font-size: 1em; margin-bottom: 0.5em; min-height: 1em; outline: 0px; padding: 0px; vertical-align: baseline;">
</div>
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<a href="http://api.ning.com/files/bTQ94SQ5wOKmcd0KCoYEt9rn3gWpFqsqCN8-pRe9YVnDY-I0qsHoX4xKhbDk5H4V3f88QwMU*MV0s4VWpRNQVZj*j1P2cjzT/BigDataWORDLE.png" style="border-bottom-style: none; border-left-width: 0px; border-right-width: 0px; border-top-width: 0px; color: #1d00fa; margin: 0px; outline: 0px; padding: 0px; text-decoration: none; vertical-align: baseline;" target="_self"><img class="align-center" src="http://api.ning.com/files/bTQ94SQ5wOKmcd0KCoYEt9rn3gWpFqsqCN8-pRe9YVnDY-I0qsHoX4xKhbDk5H4V3f88QwMU*MV0s4VWpRNQVZj*j1P2cjzT/BigDataWORDLE.png?width=500" style="border: 0px; clear: both !important; display: block !important; height: auto; margin: 4px 0px; max-width: 737px; outline: 0px; padding: 0px; text-align: center; vertical-align: baseline;" width="500" /></a></div>
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Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-26204539860835361882014-01-21T08:36:00.000-08:002016-01-09T16:02:51.123-08:0010 Programming Languages You Should Learn in 2014<script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script><br />
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<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;">by R<a href="http://mashable.com/people/rebecca-hiscott/" style="background-color: transparent; color: #333333; text-decoration: none;">ebecca Hiscott</a></div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;">The tech sector is booming. If you've used a smartphone or logged on to a computer at least once in the last few years, you've probably noticed this.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;">As a result, coding skills are in high demand, with programming jobs <a data-crackerjax="#post-slider" href="http://mashable.com/2012/09/20/need-a-job-youd-better-learn-to-code/" style="color: #00aeef; text-decoration: none;">paying significantly more than the average position</a>. Even beyond the tech world, an understanding of at least one programming language makes an impressive addition to any resumé.</div><div class="see-also" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; font-weight: bold; line-height: 22.5px; text-transform: uppercase;"><div style="margin-bottom: 1.5em; margin-top: 0.75em;">SEE ALSO: <a data-crackerjax="#post-slider" href="http://mashable.com/2014/01/06/tech-jobs-2014/" style="color: #00aeef; text-decoration: none; text-transform: none;">The 8 Hottest Tech Jobs of 2014</a></div></div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;">The in-vogue languages <a data-crackerjax="#post-slider" href="http://mashable.com/2012/07/11/developer-programming-languages/" style="color: #00aeef; text-decoration: none;">vary by employment sector</a>. Financial and enterprise systems need to perform complicated functions and remain highly organized, requiring languages like Java and C#. Media- and design-related webpages and software will require dynamic, versatile and functional languages with minimal code, such as Ruby, PHP, JavaScript and Objective-C.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;">With some help from <a href="http://lynda.com/" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, we've compiled a list of 10 of the most sought-after programming languages to get you up to speed.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">1. Java</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!bd7f" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!bd7f" data-image="http://rack.0.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzE1L2phdmEyLmFjZjUwLmpwZwpwCXRodW1iCTEyMDB4OTYwMD4/85689318/d32/java2.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="Java" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!bd7f" data-image="http://rack.0.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzE1L2phdmEyLmFjZjUwLmpwZwpwCXRodW1iCTEyMDB4OTYwMD4/85689318/d32/java2.jpg" data-micro="1" src="http://rack.0.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzE1L2phdmEyLmFjZjUwLmpwZwpwCXRodW1iCTEyMDB4OTYwMD4/85689318/d32/java2.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="Java" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> <a href="http://mashable.com/category/java/" style="color: #00aeef; text-decoration: none;">Java</a> is a class-based, object-oriented programming language developed by Sun Microsystems in the 1990s. It's one of the most in-demand programming languages, a standard for enterprise software, web-based content, games and mobile apps, as well as the <a href="http://mashable.com/category/android/" style="color: #00aeef; text-decoration: none;">Android</a>operating system. Java is designed to work across multiple software platforms, meaning a program written on Mac OS X, for example, could also run on Windows.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;">Beginners are advised to learn C/C++ first, as Java is not the most user-friendly of languages.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="https://www.udemy.com/blog/learn-java/" style="color: #00aeef; text-decoration: none;" target="_blank">Udemy</a>, <a href="http://www.lynda.com/Java-training-tutorials/1077-0.html?utm_source=google&utm_medium=cpc&utm_campaign=Search-Dev-Java-XCT&utm_content=36326176986&utm_term=learn%20to%20program%20java&gclid=CNvrk4f_gLwCFREaOgodzFMAkA" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="http://www.oracle.com/technetwork/topics/newtojava/overview/index.html" style="color: #00aeef; text-decoration: none;" target="_blank">Oracle.com</a>, <a href="http://www.learnjavaonline.org/" style="color: #00aeef; text-decoration: none;" target="_blank">LearnJavaOnline.org</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">2. C Language</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!6297" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!6297" data-image="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzlhL2MyLjQzY2I0LmpwZwpwCXRodW1iCTEyMDB4OTYwMD4/0ff29852/8c6/c2.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="C Language" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!6297" data-image="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzlhL2MyLjQzY2I0LmpwZwpwCXRodW1iCTEyMDB4OTYwMD4/0ff29852/8c6/c2.jpg" data-micro="1" src="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzlhL2MyLjQzY2I0LmpwZwpwCXRodW1iCTEyMDB4OTYwMD4/0ff29852/8c6/c2.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="C Language" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> A general-purpose, imperative programming language developed in the early '70s, C is the oldest and most widely used language, providing the building blocks for other popular languages, such as C#, Java, JavaScript and Python. C is mostly used for implementing operating systems and embedded applications.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;">Because it provides the foundation for many other languages, it is advisable to learn C (and C++) before moving on to others.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="http://www.learn-c.org/" style="color: #00aeef; text-decoration: none;" target="_blank">Learn-C</a>, <a href="https://itunes.apple.com/itunes-u/introduction-to-programming/id455865447" style="color: #00aeef; text-decoration: none;" target="_blank">Introduction To Programming</a>, <a href="http://www.lynda.com/Eclipse-tutorials/CC-Essential-Training/94343-2.html?utm_source=google&utm_medium=cpc&utm_campaign=Search-Dev-C&utm_content=34132478586&utm_term=%2Blearning%20%2Bc&gclid=COe65caGgbwCFaxQOgodoSUASA" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="http://www.cprogramming.com/" style="color: #00aeef; text-decoration: none;" target="_blank">CProgramming.com</a>,<a href="http://c.learncodethehardway.org/book/" style="color: #00aeef; text-decoration: none;" target="_blank">Learn C The Hard Way</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">3. C++</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!e66b" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!e66b" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzlkL2NwbHVzcGx1cy44OTVhOC5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/aee5cfcd/379/cplusplus.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="C Plus Plus" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!e66b" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzlkL2NwbHVzcGx1cy44OTVhOC5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/aee5cfcd/379/cplusplus.jpg" data-micro="1" src="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE1LzlkL2NwbHVzcGx1cy44OTVhOC5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/aee5cfcd/379/cplusplus.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="C Plus Plus" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> <a href="http://mashable.com/category/c/" style="color: #00aeef; text-decoration: none;">C++</a> is an intermediate-level language with object-oriented programming features, originally designed to enhance the C language. C++ powers major software like <a href="http://mashable.com/category/firefox" style="color: #00aeef; text-decoration: none;">Firefox</a>, <a href="http://mashable.com/category/winamp/" style="color: #00aeef; text-decoration: none;">Winamp</a>and Adobe programs. It's used to develop systems software, application software, high-performance server and client applications and video games.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="https://www.udemy.com/objective-c-for-iphone-developers/" style="color: #00aeef; text-decoration: none;" target="_blank">Udemy</a>, <a href="http://www.lynda.com/SharedPlaylist/2b647dd117ef423f81493e2860f967b0?utm_medium=viral&utm_source=slideshare&utm_campaign=top-programming-languages" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="http://www.cplusplus.com/doc/tutorial/" style="color: #00aeef; text-decoration: none;" target="_blank">CPlusPlus.com</a>, <a href="http://www.learncpp.com/" style="color: #00aeef; text-decoration: none;" target="_blank">LearnCpp.com</a>, <a href="http://www.cprogramming.com/tutorial.html" style="color: #00aeef; text-decoration: none;" target="_blank">CProgramming.com</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">4. C#</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!3d93" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!3d93" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE1L2EyL2NzaGFycC5mNWFjNC5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/d7b52485/97c/csharp.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="C Sharp" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia commons" data-credit-provider="Custom type" data-fragment="m!3d93" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE1L2EyL2NzaGFycC5mNWFjNC5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/d7b52485/97c/csharp.jpg" data-micro="1" src="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE1L2EyL2NzaGFycC5mNWFjNC5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/d7b52485/97c/csharp.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="C Sharp" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> Pronounced "C-sharp," C# is a multi-paradigm language developed by <a href="http://mashable.com/category/microsoft/" style="color: #00aeef; text-decoration: none;">Microsoft</a> as part of its .NET initiative. Combining principles from C and C++, C# is a general-purpose language used to develop software for Microsoft and <a href="http://mashable.com/category/windows/" style="color: #00aeef; text-decoration: none;">Windows</a> platforms.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="https://www.udemy.com/courses/search/?q=C%23&view=list&utm_medium=udemyads&utm_source=adwords&utm_campaign=CSharp-Search-SN&utm_content=Learn&utm_term=learn%20c%23&matchtype=e&tc=ads.search.CSharp-Search-SN.Learn&xref=adwords2&hb=adwords&gclid=CNLOqpOogbwCFeFlOgodYwYA0g" style="color: #00aeef; text-decoration: none;" target="_blank">Udemy</a>, <a href="http://www.lynda.com/SharedPlaylist/4930759d839b442eb80de3b25de5afca?utm_medium=viral&utm_source=slideshare&utm_campaign=top-programming-languages" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="http://www.microsoftvirtualacademy.com/training-courses/c-fundamentals-development-for-absolute-beginners#?fbid=o-aUxc5pTi5" style="color: #00aeef; text-decoration: none;" target="_blank">Microsoft Virtual Academy</a>, <a href="http://www.tutorialspoint.com/csharp/" style="color: #00aeef; text-decoration: none;" target="_blank">TutorialsPoint.com</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">5. Objective-C</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!68ca" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!68ca" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzFmL29iamVjdGl2ZWMuZjZmOGYuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/56feff20/329/objectivec.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="Objective-C" class="" data-caption="" data-credit-label="Mashable composite. Image: " data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!68ca" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzFmL29iamVjdGl2ZWMuZjZmOGYuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/56feff20/329/objectivec.jpg" data-micro="1" src="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzFmL29iamVjdGl2ZWMuZjZmOGYuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/56feff20/329/objectivec.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="Objective-C" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> Objective-C is a general-purpose, object-oriented programming language used by the<a href="http://mashable.com/category/apple/" style="color: #00aeef; text-decoration: none;">Apple</a> operating system. It powers Apple's <a href="http://mashable.com/category/os-x/" style="color: #00aeef; text-decoration: none;">OS X</a> and <a href="http://mashable.com/category/ios/" style="color: #00aeef; text-decoration: none;">iOS</a>, as well as its <a href="http://mashable.com/category/API" style="color: #00aeef; text-decoration: none;">APIs</a>, and can be used to create <a href="http://mashable.com/category/iphone/" style="color: #00aeef; text-decoration: none;">iPhone</a> apps, which has generated a huge demand for this once-outmoded programming language.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="https://www.udemy.com/objective-c-for-iphone-developers/" style="color: #00aeef; text-decoration: none;" target="_blank">Udemy</a>, <a href="http://www.lynda.com/SharedPlaylist/fdf786e6e4cf44c3b33f54761b0e21da?utm_medium=viral&utm_source=slideshare&utm_campaign=top-programming-languages" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="https://developer.apple.com/library/mac/documentation/cocoa/conceptual/ProgrammingWithObjectiveC/Introduction/Introduction.html" style="color: #00aeef; text-decoration: none;" target="_blank">Mac Developer Library</a>, <a href="http://cocoadevcentral.com/d/learn_objectivec/" style="color: #00aeef; text-decoration: none;" target="_blank">Cocoa Dev Central</a>, <a href="http://mobile.tutsplus.com/tutorials/iphone/learn-objective-c-day-1/" style="color: #00aeef; text-decoration: none;" target="_blank">Mobile Tuts+</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">6. PHP</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!56d8" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!56d8" data-image="http://rack.0.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzJmL1BIUC5iMWIyMy5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/e427d6a9/c13/PHP.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="PHP" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!56d8" data-image="http://rack.0.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzJmL1BIUC5iMWIyMy5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/e427d6a9/c13/PHP.jpg" data-micro="1" src="http://rack.0.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzJmL1BIUC5iMWIyMy5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/e427d6a9/c13/PHP.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="PHP" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> PHP (Hypertext Processor) is a free, server-side scripting language designed for dynamic websites and app development. It can be directly embedded into an <a href="http://mashable.com/category/html/" style="color: #00aeef; text-decoration: none;">HTML</a> source document rather than an external file, which has made it a popular programming language for web developers. PHP powers more than 200 million websites, including <a href="http://mashable.com/category/wordpress/" style="color: #00aeef; text-decoration: none;">Wordpress</a>, <a href="http://mashable.com/category/digg/" style="color: #00aeef; text-decoration: none;">Digg</a> and<a href="http://mashable.com/category/facebook/" style="color: #00aeef; text-decoration: none;">Facebook</a>.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="https://www.udemy.com/phpmysql-for-beginners/" style="color: #00aeef; text-decoration: none;" target="_blank">Udemy</a>, <a href="http://www.codecademy.com/tracks/php" style="color: #00aeef; text-decoration: none;" target="_blank">Codecademy</a>, <a href="http://www.lynda.com/SharedPlaylist/88dc7ca364bb4350876f1c0d742bbfe1?utm_medium=viral&utm_source=slideshare&utm_campaign=top-programming-languages" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="http://teamtreehouse.com/join/php?utm_source=google&cid=1352&gclid=CJqvho-Bg7wCFfA7Ogod5iMAwA" style="color: #00aeef; text-decoration: none;" target="_blank">Treehouse</a>, <a href="http://devzone.zend.com/6/php-101-php-for-the-absolute-beginner/" style="color: #00aeef; text-decoration: none;" target="_blank">Zend Developer Zone</a>,<a href="http://www.php.net/manual/en/getting-started.php" style="color: #00aeef; text-decoration: none;" target="_blank">PHP.net</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">7. Python</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!1298" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!1298" data-image="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzIzL3B5dGhvbi44NWZhOS5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/479d623c/e09/python.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="Python" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!1298" data-image="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzIzL3B5dGhvbi44NWZhOS5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/479d623c/e09/python.jpg" data-micro="1" src="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzIzL3B5dGhvbi44NWZhOS5qcGcKcAl0aHVtYgkxMjAweDk2MDA-/479d623c/e09/python.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="Python" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> <a href="http://mashable.com/category/python/" style="color: #00aeef; text-decoration: none;">Python</a> is a high-level, server-side scripting language for websites and mobile apps. It's considered a fairly easy language for beginners due to its readability and compact syntax, meaning developers can use fewer lines of code to express a concept than they would in other languages. It powers the web apps for <a href="http://mashable.com/category/instagram/" style="color: #00aeef; text-decoration: none;">Instagram</a>, <a href="http://mashable.com/category/pinterest" style="color: #00aeef; text-decoration: none;">Pinterest</a> and <a href="http://mashable.com/category/rdio/" style="color: #00aeef; text-decoration: none;">Rdio</a> through its associated web framework, Django, and is used by <a href="http://mashable.com/category/google+" style="color: #00aeef; text-decoration: none;">Google</a>, <a href="http://mashable.com/category/yahoo/" style="color: #00aeef; text-decoration: none;">Yahoo!</a> and <a href="http://mashable.com/category/nasa/" style="color: #00aeef; text-decoration: none;">NASA</a>.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="https://www.udemy.com/draft/6955/" style="color: #00aeef; text-decoration: none;" target="_blank">Udemy</a>, <a href="http://www.codecademy.com/tracks/python" style="color: #00aeef; text-decoration: none;" target="_blank">Codecademy</a>, <a href="http://www.lynda.com/SharedPlaylist/54da95fb5fe644af9267e9a404541e18?utm_medium=viral&utm_source=slideshare&utm_campaign=top-programming-languages" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="http://www.learnpython.org/" style="color: #00aeef; text-decoration: none;" target="_blank">LearnPython.org</a>, <a href="http://www.python.org/about/gettingstarted/" style="color: #00aeef; text-decoration: none;" target="_blank">Python.org</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">8. Ruby</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!cc24" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!cc24" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzU4L3J1YnkuNzc3MWMuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/19e8d6eb/697/ruby.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="Ruby" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!cc24" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzU4L3J1YnkuNzc3MWMuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/19e8d6eb/697/ruby.jpg" data-micro="1" src="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2LzU4L3J1YnkuNzc3MWMuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/19e8d6eb/697/ruby.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="Ruby" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> A dynamic, object-oriented scripting language for developing websites and mobile apps, <a href="http://mashable.com/category/ruby/" style="color: #00aeef; text-decoration: none;">Ruby</a> was designed to be simple and easy to write. It powers the <a href="http://mashable.com/category/ruby-on-rails/" style="color: #00aeef; text-decoration: none;">Ruby on Rails</a> (or Rails) framework, which is used on <a href="http://mashable.com/category/scribd/" style="color: #00aeef; text-decoration: none;">Scribd</a>, <a href="http://mashable.com/category/github/" style="color: #00aeef; text-decoration: none;">GitHub</a>, <a href="http://mashable.com/category/groupon/" style="color: #00aeef; text-decoration: none;">Groupon</a> and <a href="http://mashable.com/category/shopify/" style="color: #00aeef; text-decoration: none;">Shopify</a>. Like Python, Ruby is considered a fairly user-friendly language for beginners.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="http://www.codecademy.com/tracks/ruby" style="color: #00aeef; text-decoration: none;" target="_blank">Codecademy</a>, <a href="https://www.codeschool.com/paths/ruby?gclid=CO224KiIg7wCFWhnOgodmGwAuw" style="color: #00aeef; text-decoration: none;" target="_blank">Code School</a>, <a href="http://tryruby.org/levels/1/challenges/0" style="color: #00aeef; text-decoration: none;" target="_blank">TryRuby.org</a>, <a href="https://rubymonk.com/" style="color: #00aeef; text-decoration: none;" target="_blank">RubyMonk</a>.</div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">9. JavaScript</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!b8e2" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!b8e2" data-image="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE2L2RlL2phdmFzY3JpcHQuNDJjNWIuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/66caa19b/655/javascript.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="JavaScript" class="" data-caption="" data-credit-label="Mashable composite. Image:" data-credit-link="http://commons.wikimedia.org" data-credit-name="Wikimedia Commons" data-credit-provider="Custom type" data-fragment="m!b8e2" data-image="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE2L2RlL2phdmFzY3JpcHQuNDJjNWIuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/66caa19b/655/javascript.jpg" data-micro="1" src="http://rack.1.mshcdn.com/media/ZgkyMDE0LzAxLzE2L2RlL2phdmFzY3JpcHQuNDJjNWIuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/66caa19b/655/javascript.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="JavaScript" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"><div style="padding: 0px;">IMAGE: MASHABLE COMPOSITE. IMAGE: <a href="http://commons.wikimedia.org/" style="color: #00aeef; text-decoration: none;" target="_blank">WIKIMEDIA COMMONS</a></div></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> JavaScript is a client and server-side scripting language developed by <a href="http://mashable.com/category/netscape/" style="color: #00aeef; text-decoration: none;">Netscape</a> that derives much of its syntax from C. It can be used across multiple web browsers and is considered essential for developing interactive or animated web functions. It is also used in game development and writing desktop applications. JavaScript interpreters are embedded in Google's <a href="http://mashable.com/category/chrome" style="color: #00aeef; text-decoration: none;">Chrome</a> extensions, Apple's <a href="http://mashable.com/category/safari/" style="color: #00aeef; text-decoration: none;">Safari</a> extensions, Adobe Acrobat and Reader, and Adobe's Creative Suite.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="http://www.codecademy.com/tracks/javascript" style="color: #00aeef; text-decoration: none;" target="_blank">Codecademy</a>, <a href="http://www.lynda.com/SharedPlaylist/2066084a8ec140e99e8ba6a10bf40b52?utm_medium=viral&utm_source=slideshare&utm_campaign=top-programming-languages" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="https://www.codeschool.com/paths/javascript?gclid=CNDzg8eLg7wCFeFlOgodYwYA0g" style="color: #00aeef; text-decoration: none;" target="_blank">Code School</a>, <a href="http://teamtreehouse.com/library/javascript-foundations" style="color: #00aeef; text-decoration: none;" target="_blank">Treehouse</a>, <a href="http://www.learn-js.org/" style="color: #00aeef; text-decoration: none;" target="_blank">Learn-JS.org</a>.</div><div class="see-also" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; font-weight: bold; line-height: 22.5px; text-transform: uppercase;"><div style="margin-bottom: 1.5em; margin-top: 0.75em;">SEE ALSO: <a data-crackerjax="#post-slider" href="http://mashable.com/2012/11/12/javascript/" style="color: #00aeef; text-decoration: none; text-transform: none;">Is JavaScript the Future of Programming?</a></div></div><h2 style="background-color: white; clear: left; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 24px; line-height: 1.27; margin: 0px 0px 1rem; text-rendering: optimizelegibility;">10. SQL</h2><br />
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<figure class="image" style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin: 0px 0px 50px; position: relative;"><div style="padding: 0px;"><a href="https://www.blogger.com/blogger.g?blogID=9032908587932915383" name="m!f88d" style="color: #00aeef;"></a></div><div class="microcontent-wrapper" style="clear: left; margin-left: 0px; position: relative;"><div class="microcontent-shares" data-description="" data-fragment="m!f88d" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2L2JkL3NxbDIuMzY1MTUuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/73ec8700/eb1/sql2.jpg" data-url="" style="-webkit-box-shadow: rgb(204, 204, 204) 1px 1px 2px; -webkit-transition: opacity 0.25s ease; border: 1px solid transparent; box-shadow: rgb(204, 204, 204) 1px 1px 2px; height: 0px; left: -47px; opacity: 0; padding: 5px; position: absolute; top: -5px; transition: opacity 0.25s ease; width: 30px;"><a class="social-share microcontent-share-badge network-badge network-badge-facebook facebook" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #3b579d; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-twitter twitter" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #2daae1; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-google_plus google_plus" data-active="true" data-gapiattached="true" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #f02f16; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px 0px 2px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a><a class="social-share microcontent-share-badge network-badge network-badge-pinterest pinterest" href="http://mashable.com/2014/01/21/learn-programming-languages/?utm_cid=mash-com-fb-main-link#" style="-webkit-transition: color 0.3s ease; color: #bf1e25; display: inline-block; font-size: 3rem; height: 30px; line-height: 1; margin: 0px; padding: 0px !important; position: relative; text-decoration: none; text-indent: -9900px; transition: color 0.3s ease; white-space: nowrap; width: 30px;"></a></div><img alt="SQL" class="" data-caption="" data-credit-label="Mashable composite." data-credit-link="" data-credit-name="" data-credit-provider="Custom type" data-fragment="m!f88d" data-image="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2L2JkL3NxbDIuMzY1MTUuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/73ec8700/eb1/sql2.jpg" data-micro="1" src="http://rack.2.mshcdn.com/media/ZgkyMDE0LzAxLzE2L2JkL3NxbDIuMzY1MTUuanBnCnAJdGh1bWIJMTIwMHg5NjAwPg/73ec8700/eb1/sql2.jpg" data-width="640" style="border: 0px; max-width: 100%; vertical-align: middle;" title="SQL" /></div><br />
<div class="image-credit" style="-webkit-transition: margin 0.2s; color: #777777; float: right; font-size: 0.9rem; font-style: italic; margin-left: auto; margin-right: 18.75px; margin-top: 12px; max-width: 625px; text-transform: uppercase; transition: margin 0.2s; width: auto;"></div></figure><br />
<div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>What it is:</strong> Structured Query Language (SQL) is a special-purpose language for managing data in relational database management systems. It is most commonly used for its "Query" function, which searches informational databases. SQL was standardized by the American National Standards Institute (ANSI) and the International Organization for Standardization (ISO) in the 1980s.</div><div style="background-color: white; color: #555555; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 15px; line-height: 22.5px; margin-bottom: 1.5em; margin-top: 0.75em;"><strong>Where to learn it:</strong> <a href="http://www.lynda.com/SharedPlaylist/d35f6f97cacc4debb195901209909a6a?utm_medium=viral&utm_source=slideshare&utm_campaign=top-programming-languages" style="color: #00aeef; text-decoration: none;" target="_blank">Lynda.com</a>, <a href="http://www.sqlcourse.com/index.html" style="color: #00aeef; text-decoration: none;" target="_blank">SQLCourse.com</a>, <a href="http://www.tutorialspoint.com/sql/" style="color: #00aeef; text-decoration: none;" target="_blank">TutorialsPoint.com</a>, <a href="http://sqlzoo.net/wiki/Main_Page" style="color: #00aeef; text-decoration: none;" target="_blank">SQLZoo.net</a>.</div>Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com63tag:blogger.com,1999:blog-9032908587932915383.post-33983448219604162682014-01-06T13:50:00.000-08:002014-01-06T13:50:19.908-08:00The 3 reasons why Big Data benefits your business<i>Big Data, Simple Guidance</i><br />
<i><br />
</i> <i>by Microsoft</i><br />
<i><br />
</i> <i><br />
</i> <br />
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<span class="value" style="margin-left: 3px;">6 Jan 2014 12:49 PM </span></div>
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<div class="post-content user-defined-markup" style="background-color: white; border-bottom-width: 0px; border-top-width: 0px; color: #2a2a2a; font-family: 'Segoe UI', 'Lucida Grande', Verdana, Arial, Helvetica, sans-serif; font-size: 12px; line-height: 1.5; margin: 15px 0px 0px; max-width: 100%; overflow: hidden; padding: 0px; position: relative;">
<img alt=" " src="http://blogs.technet.com/resized-image.ashx/__size/550x0/__key/communityserver-blogs-components-weblogfiles/00-00-01-00-11/Bigdata.png" style="float: right; margin-left: 10px; margin-right: 10px; max-width: 100%; overflow: hidden;" width="215" />Big data is very simple—it’s an extremely large set of data—but the confusing part is knowing what to <i>do </i>with all of that information. Big data can either be a tremendous asset to your business or a time-sapping mire.<a href="http://www.informationweek.com/big-data/big-data-analytics/big-data-a-practical-definition/d/d-id/1111290?http://www.informationweek.com/big-data/big-data-analytics/big-data-a-practical-definition/d/d-id/1111290?" style="color: #00749e; cursor: pointer; outline: none; text-decoration: none;">David McJannet</a>, VP of marketing for Microsoft partner Hortonworks, provides a simplified definition to shed some light on what big data is and why it’s important:<br />
Big data is about building new analytic applications based on new types of data, to better serve your customers and drive a better competitive advantage.<br />
There are three key reasons data insights are important to your business:<br />
<ol>
<li>You can <b>harvest intelligent data </b>by using data solutions that comb the entire web and gather relevant information to create actionable analytics. Getting the right data is the first step to actionable insights.</li>
<li><b>Empower employees with real-time insights </b>by delivering data visualization to anyone in your organization. Data will be much more helpful if your employees can use it easily.</li>
<li><b>Create a connected, data-driven organization </b>that eliminates silos by connecting people through shared processes and data. Open the floodgates and give everyone access to data, and the insights driven by that data.</li>
</ol>
Two departments within most organizations that will be affected by more effective business insights are Marketing and Finance:<br />
<ol>
<li><b>Reimagine Marketing </b>driven by deep customer insights to create engaging, personal advertising. Marketing can be more personal than ever before—one of the best ways for it to work effectively.</li>
<li><b>Reimagine Finance </b>by translating data into business impact. Assess and control risk, find ways to reduce cost, and strategize growth and competition. Predictive models will enable your business to anticipate changes most businesses were guessing at 10 years ago.</li>
</ol>
Big data is about driving actionable insights for your business. The data-driven organization will be able to better understand their customers and business challenges to provide a competitive advantage.</div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com3tag:blogger.com,1999:blog-9032908587932915383.post-52457447890115879982013-12-28T17:44:00.000-08:002014-01-04T06:20:59.221-08:00Doctors will routinely use your DNA to keep you well<br />by IBM Research<br /><br /><br /><i><a href="http://www.research.ibm.com/cognitive-computing/watson/index.shtml">Watson</a> sifted four Terabytes of data to play Jeopardy! Now, it’s sorting even more healthcare data with the likes of <a href="http://www-03.ibm.com/press/us/en/pressrelease/40335.wss">WellPoint</a>, <a href="http://www-03.ibm.com/press/us/en/pressrelease/37235.wss">Memorial Sloan-Kettering Cancer Center</a>, <a href="http://www-03.ibm.com/press/us/en/pressrelease/42214.wss">MD Anderson Cancer Center</a>, and <a href="http://www.research.ibm.com/cognitive-computing/watson/watsonpaths.shtml">Cleveland Clinic</a>. Next, IBM predicts that <a href="http://www.ibm.com/smarterplanet/us/en/ibm_predictions_for_future/ideas/">over the next five years</a>, similar cognitive systems will help doctors unlock the Big Data of DNA to pin point cancer therapy for their patients.</i><br /><br /><br />Already, full DNA sequencing is helping some patients fight cancer. For example, Dr. Lukas Wartman famously <a href="http://www.nytimes.com/2012/07/08/health/in-gene-sequencing-treatment-for-leukemia-glimpses-of-the-future.html">beat leukemia</a> using treatments that were tailored to the DNA mutations of his cancer cells. While previous leukemia treatments had failed, full genome sequencing of Wartman’s healthy cells and cancer cells revealed that a drug normally used for kidney cancer might work. It did.<br /><br /><br />This breakthrough has led to tremendous advances in cancer therapy based on DNA mutations, rather than simply the location of the cancer in the body.<br /><br /><br />But today, <a href="http://www-01.ibm.com/software/data/bigdata/">Big Data</a> can get in the way of these breakthroughs for patients because doctors must correlate data from full genome sequencing with reams of medical journals, studies and clinical records at a time when medical information is doubling every five years. This process is expensive and time-consuming, and available to too few patients.<br /><br /><br />IBM is building <a href="http://www.research.ibm.com/cognitive-computing/why-cognitive-systems.shtml">cognitive systems</a> connected in the <a href="http://www.ibm.com/cloud-computing/us/en/">cloud</a> to bring these tailored treatment options to more patients around the world. The speed of these insights through cognitive systems could save the lives of cancer patients who have no time to lose.<br /><br /><br /><a href="http://www.flickr.com/photos/ibm_research_zurich/11356285433/lightbox/">View the storymap</a><br /> How to personalize cancer treatment<br /><br /><br />Once a doctor sequences your full genome as well as your cancer’s DNA, mapping that information to the right treatment is difficult. Today, these types of DNA-based plans, where available, can take weeks or even months. Cognitive systems will decrease these times, while increasing the availability by providing doctors with information they can use to quickly build a focused treatment plan in just days or even minutes – all via the cloud.<br /><br /><br />Within five years, deep insights based on DNA sequencing will be accessible to more doctors and patients to help tackle cancer. By using cognitive systems that continuously learn about cancer and the patients who have cancer, the level of care will only improve. No more assumptions about cancer location or type, or any disease with a DNA link, like heart disease and stroke.Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-15370273750474043942013-12-28T14:48:00.000-08:002014-01-04T06:21:34.366-08:00Which Of The Five Types Of Data Science Does Your Startup Need?by <a class="navbar-brand" href="http://ttunguz.github.io/" style="background-color: white; box-sizing: border-box; color: #f02425; font-family: nimbus-sans-1, nimbus-sans-2; font-size: 16pt; font-weight: bold; line-height: 20px; text-decoration: none;">TOMASZ TUNGUZ</a><br />
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<a href="http://tomtunguz.com/images/image_12_765216643" style="box-sizing: border-box; color: #404040;"><img alt="facepalm-1024x442.png" src="http://tomtunguz.com/images/image_12_765216643" style="border: 0px; box-sizing: border-box; padding-bottom: 15px; padding-top: 15px; vertical-align: middle; width: 555.375px;" /></a></div>
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Credit: <a href="http://strata.oreilly.com/2013/04/why-why-why.html" style="box-sizing: border-box; color: #404040;">O'Reilly</a></div>
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Startups, you are doing <a href="http://gigaom.com/2013/09/28/notice-to-startups-you-are-doing-data-science-wrong/" style="box-sizing: border-box; color: #404040;">data science wrong</a>. That’s the title of a post penned by Ryan Weald in GigaOm this week. Weald echoes <a href="http://www.amazon.com/Data-Jujitsu-Turning-Product-ebook/dp/B008HMN5BE/ref=sr_1_1?ie=UTF8&qid=1380728736&sr=8-1&keywords=dj+patil" style="box-sizing: border-box; color: #404040;">DJ Patil’s idea</a>: “product-focused data science is different than the current business intelligence style of data science.”</div>
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Weald points to a different model of data scientist, an engineer, not a statistician, who can perform queries and based upon some insights, improve the product with a few code changes and a push to git.</div>
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I like Weald’s post but disagree on one point. I don’t think there is one type of data scientist, but five.</div>
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Quantitative, exploratory data scientists tend to have PhDs and use theory to understand behavior. I count Hal Varian, Chief Economist at Google, and Redpoint’s own <a href="https://twitter.com/jamiedavidson" style="box-sizing: border-box; color: #404040; text-decoration: none;">Jamie Davidson</a>, among them. Varian’s team researches the advertiser dynamics within the ads auction and compares those dynamics to theoretical auction models like the <a href="http://en.wikipedia.org/wiki/Vickrey_auction" style="box-sizing: border-box; color: #404040; text-decoration: none;">Vickery auction</a>. By combining theory and exploratory research, these data scientists improve products.</div>
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Operational data scientists often work in the finance, sales or operations teams at Google. In the AdSense ops team where I started, we had a star data analyst who each week would discuss our team’s performance: our email response times, the satisfaction scores of our publishers, and changes in publisher behavior by segment. His work provided a feedback loop to improve the team’s tactics and efficiency. Only infrequently were these insights used to influence product.</div>
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Product data scientists tend to belong to product management or engineering. This is the group of data scientists Weald writes about. PMs and engineers sift through logs and analysis tools to understand the way users interact a product and leverage that knowledge to refine the product. At Google, the ads quality team analyzed user clicks data to improve ad targeting.</div>
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Marketing data scientists segment the user base, evaluate the performance of advertising campaigns, match product features to customer segments, and design content marketing campaigns. The marketing data scientist creates awareness and leads for the sales team, helping generate revenue.</div>
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Research data scientists create insights as a product. Nate Silver is arguably the most famous of them. Silver’s work doesn’t influence a product; the analysis is the product itself. Sometimes the data science leads to a thought leadership whitepaper, or a blog post, or a financial report. It’s rarer for startups to employ research scientists because the output isn’t tied to revenue. But larger companies like Google do, think tanks do, financial institutions do.</div>
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These five types of data scientists span almost every department of <a href="http://en.wikipedia.org/wiki/Knowledge_worker" style="box-sizing: border-box; color: #404040;">knowledge work</a>. Sometime in the past thirty years, data science became inextricable from the day-to-day operation of these teams. Product, marketing, eng, sales all use data to make decisions. These teams use data to identify, understand and implement feedback loops and to reinforce the behavior a company desires.</div>
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To talk about data scientists might be too myopic. Your startup may need a research data scientist or one with a PhD. Or it may need an engineer with an understanding of basic statistics who can work up and down the Rails stack. Or another type all together.</div>
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Like any role, when hiring or recruiting a data scientist it’s important to identify what the key problems facing the business and the relevant skills the right candidate will need to solve those challenges.</div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com1tag:blogger.com,1999:blog-9032908587932915383.post-63725353761158977082013-12-13T13:45:00.000-08:002013-12-13T13:45:13.366-08:00Are You Recruiting A Data Scientist, Or Unicorn?<header style="background-color: white; color: #413f41; font-family: Helvetica, Arial, sans-serif; font-size: 13px; line-height: 18px; margin: 0px; padding: 0px;">Guest blog by <a class="color-link" href="http://www.informationweek.com/author-bio.asp?author_id=757" style="border: 0px; color: #003d57; font-size: 12px; line-height: 15px; margin: 0px; padding: 0px; text-decoration: none;" title="Jeff Bertolucci, ">Jeff Bertolucci</a> (InformationWeek)</header><div class="divsplitter" style="background-color: white; clear: both; color: #413f41; font-family: Helvetica, Arial, sans-serif; font-size: 13px; height: 1.5em; line-height: 18px; margin: 0px; padding: 0px;">
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<span class="strong medium black" style="background-color: white; border: 0px; font-family: Helvetica, Arial, sans-serif; font-size: 1.33333em; font-weight: bold; line-height: 1.1875em; margin: 0px; padding: 0px;">Many companies need to stop looking for a unicorn and start building a data science team, says CEO of data applications firm Lattice.</span><br />
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The emergence of big data as an insight-generating (and potentially revenue-generating) engine for enterprises has many management teams asking: Do we need an in-house data scientist?</div>
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According to Shashi Upadhyay, CEO of Lattice, a big data applications provider, it doesn't make sense for organizations to hire a single data scientist, for a variety of reasons. If your budget can swing it, a data science team is the way to go. If not, data science apps may be the next best thing. "If you look at any industry, the top 10 companies can afford to have data scientists, and they should build data science teams," Upadhyay told InformationWeek in a phone interview.</div>
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But the solution is less clear for smaller organizations. "The pattern that I've seen now, having done this for over six years, is that very often medium-sized companies think of the problem as, 'I need to go and get me one data scientist,'" said Upadhyay.</div>
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<strong style="margin: 0px; padding: 0px;">[Guidelines aim to combat potential misuse of big data. Read <a href="http://www.informationweek.com/big-data/news/big-data-analytics/data-scientists-create-code-of-professio/240162320?itc=edit_in_body_cross" style="color: #043464; margin: 0px; padding: 0px;" target="_blank">Data Scientists Create Code Of Professional Conduct.</a>]</strong></div>
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But the shortage of data scientists, a problem that's only <a href="http://www.informationweek.com/wanted-qualified-data-scientists-people/240115300" style="color: #043464; margin: 0px; padding: 0px;" target="_blank">expected to worsen</a>in the next few years, makes that approach a risky proposition.</div>
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For example, a company may hire one or two people, Upadhyay said, "but before you know it, because the supply for this talent group is so far behind demand, they have lost this person [who] has gone to the next company. And all of a sudden, all that good work is lost. And you ask yourself, 'Why did that happen? And how can I manage against it?'"</div>
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One common problem, he noted, is that companies simply don't understand data scientists and how they work. The job generally requires knowledge of a wide array of technical disciplines, including analytics, computer science, modeling, and statistics. "They also tend to be fairly conversant in business issues," Upadhyay added.</div>
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But it's often difficult to find these divergent skills in a single human being. "It's a little bit like looking for a unicorn," Upadhyay said.</div>
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When medium-sized companies -- those that fall below the top five in a given industry, for instance -- hire just one or two data scientists, they often can't provide a long-term career path for those people within the company. As a result, the data scientists get frustrated and move onto the next thing.</div>
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In Silicon Valley, where data scientists command six-figure salaries and are in great demand, it's very difficult to retain talented people.</div>
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The better solution? Build a team.</div>
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"You will absolutely get a benefit if you hire a data science team," said Upadhyay. "Go all the way [and] commit to creating a creating a career path for them. And if you do it that way, you will get the right kind of talent because people will want to work for you."</div>
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Smaller companies that can't afford data science teams should consider big data applications instead. The biggest firms -- in Upadhyay's words, "the Dells, HPs, and Microsofts of the world" -- can take both approaches: data science teams and big data apps.</div>
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The team approach seems to be winning. "I rarely see teams that are one or two people in size," Upadhyay observed. "Obviously people have those teams, but they tend to evaporate over time. Until they get to a team of 10 people or more, [companies] can't justify it."</div>
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So what does a data science team cost, and what's the payoff?</div>
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Upadhyay offered this example: Say you hire a team of 10 data scientists with an average annual cost of $150,000 per employee. "That's $1.5 million for a data science team," he said. "So they better be creating at least $15 million dollars in value for you -- 10 times [the expense] -- to be worth it."</div>
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<em style="margin: 0px; padding: 0px;">Emerging software tools now make analytics feasible -- and cost-effective -- for most companies. Also in the <a href="http://www.informationweek.com/gogreen/093013s?k=axxe&cid=article_axxt_os%22" style="color: #043464; margin: 0px; padding: 0px;" target="_blank">Brave The Big Data Wave</a> issue of InformationWeek: Have doubts about NoSQL consistency? Meet Kyle Kingsbury's Call Me Maybe project. (Free registration required.)</em></div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com2tag:blogger.com,1999:blog-9032908587932915383.post-9691056871878801612013-10-31T03:52:00.000-07:002013-10-31T03:52:15.311-07:00Your Data Analysis Takes How Long?Reference: <a href="http://www.biblogg.no/">www.biblogg.no</a><br />
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<a class="url fn n" href="http://biblogg.no/author/andy-cotgreave/" title="Andy Cotgreave">Andy Cotgreave</a></address>
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– <abbr class="published" title="2013-10-13T20:36:50+00:00">13. oktober 2013</abbr></div>
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<abbr class="published" title="2013-10-13T20:36:50+00:00"></abbr><span class="entry-cat"><strong>Publisert i: </strong><a href="http://biblogg.no/category/forside/">Forside</a>, <a href="http://biblogg.no/category/forside/toppsak/">Toppsak</a>, <a href="http://biblogg.no/category/trender/">Trender</a>, <a href="http://biblogg.no/category/forside/utvalgte-saker/">Utvalgte saker</a></span></div>
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<strong>Andy Cotgreave, Social Content Manager at Tableau Software, looks at how analytics tools can help to save valuable time </strong><br />
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Imagine, for a moment, that you’ve been given a task to analyse a dataset inside sixty minutes and share your results. How far do you think you would get in that time?<br />
It’s a question I had cause to reflect on recently, after running «Fanalytics», a workshop for users of Tableau Public. In the workshop, we gave people a dataset and one hour to do something cool. Their results were astounding.<br />
To understand why they were so impressive, let me provide a little context by considering how many of us work with data.<br />
First, let me dispel a myth. Contrary to popular opinion, if you are using spreadsheets or traditional BI tools, it is quite possible to build beautiful charts. Unfortunately, each view of your data takes considerable time to build, Do you have that time to spare in your working life? What if the chart you take 10 minutes to build doesn’t answer your question? What if it inspires a new question? You have to go back and start again.<br />
What if you could explore your data at the speed of thought instead? What if each mouse click changed the view instantly? This is what we call visual analytics: it allows you to find insight in your data at speeds unimaginable just a few years ago.<br />
You’re probably wondering how all of this relates to the <span style="text-decoration: underline;"><a href="http://www.tableausoftware.com/about/blog/2013/6/fanalytics-session-wrap-feeding-your-passion-tcceu-23660" target="_blank" title="Fanalytics">Fanalytics competition </a></span>I mentioned earlier. Well, during the session, we gave our teams a list of every UK Number one album since 1956, downloaded from Wikipedia. The instructions they were given were to analyse the data and publish something interesting within one hour.<br />
Did they deliver? Oh, boy, yes, and in ways that made my jaw drop. Each entry was different. The winning team analysed albums that had been to number one more than once, revealing perennially popular music, and the effects of sales on a musician’s death. Another team came up with an album explorer that found out which album was number one on your birthday. One team created a visually gorgeous dashboard, sure to engage anyone. A further team came up with a predictive model based around the likelihood of any album title to get to number one. You can see all the entrants on Tableau’s Fanalytics blog post. What was truly amazing was that they did this in one hour. Sixty minutes!<br />
Unfortunately, many people are stuck with tools that are cumbersome or too hard to use. It often takes more than an hour just to connect to data. The simple lesson I’ve learnt from the recent session is that although some tools can make amazing charts, they are often unnecessarily complicated. With some, you need to fill in five steps in a property wizard just to draw a chart. In others, you are required to write custom scripts before you can start drawing anything.<br />
The question we need to ask is whether we are using the right tools to answer questions quickly and in the most efficient way? If not, then perhaps it’s time to ditch these time hogs and focus on analytic tools that save you time instead!</div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com1tag:blogger.com,1999:blog-9032908587932915383.post-61955130490033096712013-10-31T01:31:00.001-07:002013-10-31T01:31:09.267-07:00Interview with Jill Dychè on Data Management in the Era of Big Data<div class="entry-title">
Guest blog: <a href="http://www.biblogg.no/">www.biblogg.no</a> </div>
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<!-- End Shareaholic LikeButtonSetTop Automatic --><a href="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche.png" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="jill dyche" class="alignleft size-thumbnail wp-image-4240" height="150" src="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-150x150.png" width="150" /></a><br />
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<strong>Jill Dyche, </strong><span style="font-size: x-small;"><strong>Vice President of SAS Best Practices, was keynote speaker at SAS Forum Norway in September, and was interviewed by Lars Rinnan</strong> </span><br />
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Jill, you delivered a strong keynote, and the audience was really attentive.<br /> You talked about big data and how to get the c-suite to listen. It sounds almost impossible. How do you get them to listen?<br />
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<i><a href="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png"><img alt="jill dyche figur2" class="alignleft wp-image-4266" height="70" src="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png" width="50" /></a>You need to meet executives where they are. In other words: figure out what’s important to them now, and then map big data as the answer.</i><br />
<i>Here’s an example: A large cable company sees an uptick in customer complaints in its call center. They have to add expensive headcount to the support staff. But they decide to incent customers to use social media interactions to ask for support or lodge complaints. By adding social media transactions to customer profiles, the cable company can not only monitor valuable customers who may be at-risk, it can also “score” its brand reputation based on text analytics of social media interactions. They understand that over half of customer feedback comments are actually installation questions and not complaints. They develop customer support videos and post them on YouTube. Both questions and complaints are reduced, and support staff can be redeployed to cross-selling functions.</i><br />
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Data governance is essential, but how do you get the CXO interested?<br />
<br />
<i><a href="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png"><img alt="jill dyche figur2" class="alignleft wp-image-4266" height="70" src="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png" width="50" /></a>Find the problem the CXO needs to solve, and explain how data enables the solution. Many senior executives don’t make the link between a business need and data. If you “deconstruct” the business problem into the data necessary to solve it, you can see the lights go on with executives. </i><br />
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How would you start a data governance process at a large company who has no clue of data governance?<br />
<i>W<a href="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png"><img alt="jill dyche figur2" class="alignleft wp-image-4266" height="70" src="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png" width="50" /></a>e recommend starting with what I call a “small, controlled project.” Take a business problem, scope it down to a level where data can enable it quickly, and then implement a well-bounded process around data rules and policies necessary to address it.</i><br />
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How is data governance related to big data?<br />
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<i><a href="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png"><img alt="jill dyche figur2" class="alignleft wp-image-4266" height="70" src="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png" width="50" /></a>Big data is like any other data: It requires policy making and oversight. In that respect big data should be beholden to larger rules. For instance, data from sensors or devices that may be streaming into your company should be handled in a different way. Is it sensitive? Is it defined? Is it targeted to be consumed by a department? An individual? A machine? All of these factors, and others, should inform the policies around that data. And that’s data governance.</i><br />
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In your experience, are businesses giving data governance enough attention in terms of resources, technology and funding?<br />
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<i><a href="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png"><img alt="jill dyche figur2" class="alignleft wp-image-4266" height="70" src="http://biblogg.no/wp-content/uploads/2013/10/jill-dyche-figur2.png" width="50" /></a>Only after they feel enough pain. Very few companies new to data governance actually say, “Hey! Let’s make sure we factor data governance into this new initiative.” Most have to experience the pain of not having the right data for the right business purpose. Go back to the days of Customer Relationship Management and remember how everyone thought they could just plug in a new tool? The validity of the data is directly proportional to the value of the resulting application. Data can no longer be considered an afterthought.</i><br />
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Thanks you for sharing these valuable insights with the readers of biblogg, Jill!</div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-85340509304359311852013-09-17T05:48:00.000-07:002013-09-17T05:52:09.319-07:00The Data Science Mindset<h2>
Intro </h2>
<section>Names like ‘R’, ‘SQL’, and ‘D3’ make data science seem more like alphabet soup than a deliberate practice of working with data. It’s so easy to get lost in the sea of acronyms, packages, and frameworks that we often find our students prematurely optimizing for the right toolset to use, unable to move forward until they have researched every available option. In reality, data science isn’t just about the tools. It’s a mindset: a way of looking at the world. It’s about taking advantage of our modern computers and all of the information that they’re already collecting to study how things work and push the limits of human knowledge just a little bit further. We have a favorite saying around here — data is everything and everything is data. If we begin with this mindset, a lot of data science approaches naturally follow.<br />
</section><section><div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgm-WepfTXqYgO2opAM0L-_zDiMHytEXeBccY2ZHviHYTvCPvJznmSixWr3LOMas7J38TEUUUoHdivSo6S9fR81w-GWYqx24LTYRkeFQ54zNZX35yInOngJX3vWZU8vcLtm8OqK_k1JbzfV/s1600/day-of-week.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"></a> </div>
</section><section><h2>
Store Everything</h2>
</section><section>Storage is cheap. Collect everything and ask questions later. Store it in the rawest form that is convenient, and don’t worry about how or even when you’re going to analyze it. That part comes later.<br />
</section><section><h2>
Use Existing Data</h2>
</section><section>We’re already storing data — let’s use it. When faced with questions, data scientists regularly adapt the query so that it can be approximately answered with an existing and convenient dataset. The best part of data science is discovering surprising applications of existing stores of data. For example, there is a plethora of satellite imagery of Earth. We can use this data to learn about <a href="http://www.youtube.com/watch?v=3ajFogCaRbs" target="_blank">fertilizer use in Uganda</a>, or use pictures of the Earth at night to estimate <a href="http://www-personal.umich.edu/~brianmin/MinEtAl_Detection_IJRS_2013.pdf" target="_blank">rural electrification</a> in developing countries.<br />
</section><section><h2>
Connect Datasets</h2>
</section><section>We’re storing everything, all over the world, inexpensively, for the first time in history. There are many lessons to be learned by utilizing more of this treasure trove. Don’t worry about making the best use out of a single source of data. Focus on connecting disparate datasets rather than tuning your models. Conventional statistics teaches a lot about how to choose analysis methods that are appropriate for your data collection approach and how to tune the models for a specific dataset.<br />
Effective data science is about using a range of datasets, connecting the dots between one set of data and another, such as predicting restaurant health scores based on Yelp reviews. In machine learning speak: it’s often better to collect more features rather than spend days optimizing hyperparameters.<br />
</section><section><h2>
Anything Can Be Quantified</h2>
</section><section>Our culture loves to quantify. If you can turn it into a number, that number can be put into a table. Importantly, that table can now be processed by a computer.<br />
A <a href="https://data.illinois.gov/Municipality/SSMMA-Combined-Sewer-Overflow/5yuf-j7kn?" target="_blank">spreadsheet about sewer overflows</a> is clearly data to most people, but what about a <a href="http://www.mo.gov/meetings/" target="_blank">calendar</a>? At first, a calendar might not seem like the sort of data that you analyze with statistics. However, you can also represent a calendar as a <a href="https://data.mo.gov/Government-Administration/Open-Meetings/au6r-w9n3" target="_blank">spreadsheet</a> and <a href="http://thomaslevine.com/!/socrata-calendars" target="_blank">as a graph</a>.</section><section><br />
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgm-WepfTXqYgO2opAM0L-_zDiMHytEXeBccY2ZHviHYTvCPvJznmSixWr3LOMas7J38TEUUUoHdivSo6S9fR81w-GWYqx24LTYRkeFQ54zNZX35yInOngJX3vWZU8vcLtm8OqK_k1JbzfV/s1600/day-of-week.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgm-WepfTXqYgO2opAM0L-_zDiMHytEXeBccY2ZHviHYTvCPvJznmSixWr3LOMas7J38TEUUUoHdivSo6S9fR81w-GWYqx24LTYRkeFQ54zNZX35yInOngJX3vWZU8vcLtm8OqK_k1JbzfV/s640/day-of-week.png" width="640" /></a><br />
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Data science becomes a creative endeavor when peeling away the obvious variables presented to you. Maybe you have a bunch of PDF documents. You could easily extract the text in the PDFs and search through the content. Depending on the problem you are solving, these files hold more interesting information than just the text. You can get the page count, the file size, and the shapes of the pages and the <a href="http://thomaslevine.com/!/parsing-pdfs/" target="_blank">program that created it</a>. There is information hidden in many datasets that goes beyond what’s immediately obvious.<br />
There is a lot of talk about the difference between different kinds of data. There’s “qualitative” vs. “quantitative” and “unstructured” vs. “structured.” To me, there isn’t much difference between “qualitative” and “quantitative” data, nor is there between “unstructured” and “structured” data because I know that I can convert between the different types.<br />
At first, the registration papers of company might not seem like interesting data. They begin as paper, most of the fields are text, and the formats aren’t particularly standardized. But when you put them in <a href="http://opencorporates.com/" target="_blank">a database</a> in a machine-readable format, qualitative data becomes <a href="http://registries.opencorporates.com/" target="_blank">quantitative data</a> that can be used to supplement other data sources.<br />
</section><section><h2>
Send Boring Work to Robots</h2>
</section><section>We no longer live in an era where “computer” refers to someone who carries out calculations. Find yourself doing something over and over? Give it to the bots. As far as data analysis goes, modern computers can be far more effective at rote tasks, such as drawing new graphs with every update of a dataset.<br />
Data collection is a prime example of a task that should be automated. A common scene in university research labs is swaths of grad students handing out paper questionnaires to participants of studies. The data scientist says: collect the data automatically and unobtrusively, using existing systems whenever possible. The supercomputers we carry in our pocket are a great place to start.<br />
This mindset can be applied not only to the data, but also to the process itself. Rather than learning and remembering your entire analysis process, you can write a program that does the whole thing for you, from the original acquisition of the data, to the modeling, to the presentation of results to another person. By making everything a program, you make it easier to find mistakes, to update your analyses, and reproduce your results.<br />
</section><section><h2>
Tools</h2>
</section><section>Once inside the data science mindset, solving interesting problems becomes a function of data acquisition and processing. Computers can fit models and make predictions about datasets that are too big to wrap your head around and convert paper documents into electronic tables. They probably know more about you and your habits than you know yourself! Use the tools available to you, but don’t get caught up on the tools themselves.<br />
Properly discussing these relevant tools is another post (maybe a book), but here’s one thought. While it always helps to have more education, you don’t need a PhD in math or computer science in order to create useful things. Loads of wonderful algorithms have already been implemented for you, and simple algorithms often work quite well. If you’re just getting started, focus on the “plumbing” that connects different datasets and systems together.<br />
</section><section><h2>
Data Science Mindset at Zipfian Academy</h2>
</section><section>Our course teaches many data science tools, but we also teach the data science mindset, because you need both to be a great data scientist. To this end, we organize our 12-week course by projects — such as a recommendation engine or spam filter — rather than software packages or algorithms. We teach the various tools in context of applied projects so students learn how to choose the appropriate tool and how to build the plumbing that connects them.<br />
In the end, it’s not about the newest, trendiest framework or fastest data analysis platform. It’s about finding interesting insights from your data and sharing it with the world. Start small, get your hands dirty, and have fun!</section><br />Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com3tag:blogger.com,1999:blog-9032908587932915383.post-63365729592108720192013-07-17T01:19:00.001-07:002013-07-17T01:19:04.377-07:00Becoming a Data Scientist – Curriculum via Metromap<span style="font-family: 'Segoe UI', 'Lucida Grande', 'Helvetica Neue', sans-serif; font-size: 15px;">by </span>Swami Chandrasekaran<br />
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<span style="font-family: 'Segoe UI', 'Lucida Grande', 'Helvetica Neue', sans-serif; font-size: 15px;">Data Science, Machine Learning, Big Data Analytics, Cognitive Computing .... well all of us have been avalanched with articles, skills demand info graph's and point of views on these topics </span><em style="box-sizing: border-box; font-family: 'Segoe UI', 'Lucida Grande', 'Helvetica Neue', sans-serif; font-size: 15px;">(yawn!)</em><span style="font-family: 'Segoe UI', 'Lucida Grande', 'Helvetica Neue', sans-serif; font-size: 15px;">. One thing is for sure; you cannot become a data scientist overnight. Its a journey, for sure a challenging one. But how do you go about becoming one? Where to start? When do you start seeing light at the end of the tunnel? What is the learning roadmap? What tools and techniques do I need to know? How will you know when you have achieved your goal?</span><br />
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Given how critical visualization is for data science, ironically I was not able to find (except for a few), pragmatic and yet visual representation of what it takes to become a data scientist. So here is my modest attempt at creating a curriculum, a learning plan that one can use in this <em style="box-sizing: border-box;">becoming a data scientist</em> journey. I took inspiration from the metro maps and used it to depict the learning path. I organized the overall plan progressively into the following areas / domains,</div>
<ol style="box-sizing: border-box; font-family: 'Segoe UI', 'Lucida Grande', 'Helvetica Neue', sans-serif; font-size: 15px; list-style-image: initial; list-style-position: initial; margin: 0px; padding: 0px 0px 0px 35px;">
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Fundamentals</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Statistics</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Programming</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Machine Learning</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Text Mining / Natural Language Processing</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Data Visualization</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Big Data</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Data Ingestion</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Data Munging</em></li>
<li style="box-sizing: border-box; margin-bottom: 5px;"><em style="box-sizing: border-box;">Toolbox</em></li>
</ol>
<div style="box-sizing: border-box; font-family: 'Segoe UI', 'Lucida Grande', 'Helvetica Neue', sans-serif; font-size: 15px;">
Each area / domain is represented as a "metro line", with the stations depicting the topics you must learn / master / understand in a progressive fashion. The idea is you pick a line, catch a train and go thru all the stations (topics) till you reach the final destination (or) switch to the next line. I have progressively marked each station (line) 1 thru 10 to indicate the order in which you travel. You can use this as an individual learning plan to identify the areas you most want to develop and the acquire skills. By no means this is the end; but a solid start. Feel free to leave your comments and constructive feedback.</div>
<div style="box-sizing: border-box; font-family: 'Segoe UI', 'Lucida Grande', 'Helvetica Neue', sans-serif; font-size: 15px;">
<span style="box-sizing: border-box; color: grey;"><em style="box-sizing: border-box;">PS: I did not want to impose the use of any commercial tools in this plan. I have based this plan on tools/libraries available as open source for the most part. If you have access to a commercial software such as IBM SPSS or SAS Enterprise Miner, by all means go for it. The plan still holds good.</em></span></div>
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<span style="box-sizing: border-box; color: grey;"><em style="box-sizing: border-box;">PS: I originally wanted to create an interactive visualization using D3.js or InfoVis. But wanted to get this out quickly. Maybe I will do an interactive map in the next iteration.</em></span></div>
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Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com3tag:blogger.com,1999:blog-9032908587932915383.post-76882530482219077042013-05-29T08:38:00.000-07:002013-05-29T08:38:10.542-07:00THE NORWEGIAN BI BAROMETER<h1 class="mh" id="8" style="background-color: white; color: #60605f; font-family: Arial, sans-serif; font-size: 1.2em; font-weight: lighter; margin-top: 0px; text-transform: uppercase; width: 740px;">
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<strong>The Norwegian BI barometer: A survey of BI maturity in the Norwegian market</strong><br />Are Norwegian companies best in class when it comes to using information for management purposes? Or are they laggards compared to other countries, relying on gut feeling and experience? For the first time there will be a large scale survey of BI maturity in Norway. The survey will give an indication of the level of maturity in using BI in Norwegian companies. The survey will point out which areas are more mature, and which require more attention, both in total and divided by industry and company size. Is your company more or less mature than the industry average? Which areas are most and least mature? Get useful pointers for your own BI efforts at this presentation.</div>
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<span style="text-decoration: underline;"><span style="font-size: small;"><a href="https://www.research.net/s/BIBarometeret" style="color: black; text-decoration: none;" target="_blank">Click here to answer the survey. Your opinion counts!</a></span></span></div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-43461293881083712522013-05-29T06:37:00.001-07:002013-05-29T06:37:15.518-07:00TICKETS<article id="art0" style="background-color: white; clear: both; color: #60605f; float: left; font-family: Arial, sans-serif; margin-bottom: 20px; width: 740px;"><h1 class="mh" id="7" style="font-size: 1.2em; font-weight: lighter; margin-top: 0px; text-transform: uppercase; width: 740px;">
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<span style="font-size: x-small;">GOBI2013 will be held in Oslo Spektrum June 10th 2013. When registering you get full access to the sessions, restaurants, cafes, expo and entertainment for the whole conference.</span></div>
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<span style="font-size: x-small;">The web shop for conference tickets will ease the j</span>ob of managing your tickets. Through the web shop you can buy any number of tickets and assign them to co-workers and/or friends who shall attend the conference. Each individual attendee is responsible for updating his or her contact information. When required information has been registered, the ticket will be sent directly to the attendee. Tickets are sent as a PDF containing a QR code on e-mail. Attendees must bring the QR code for registration at the conference site on June 10th. A conference pass will be created and handed out at registration.</div>
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<span style="font-size: small;"><strong>Price: 5.900 NOK (EarlyBird, until 15.04.2013)</strong></span></div>
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<span style="font-size: small;"><strong><span lang="EN-US">Price: 6.900 NOK (<span lang="EN-US">LateBird after 15.04.2013)</span></span></strong></span></div>
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Tickets for GOBI2013 are administrated by <a href="http://macsimum.no/" style="color: black; text-decoration: none;">Macsimum Event AS<br /></a></div>
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<a href="http://www.eventsystems.no/es/event/gobi/" style="color: black; text-decoration: none;" target="_blank"><span style="color: #00ccff; font-size: small; text-decoration: underline;"><strong>Buy your GOBI2013 ticket here</strong></span>.<br /><br /></a></div>
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<strong><span style="font-size: small;">Post Conference Seminar with Cindi Howson and Wayne Eckerson</span><br /></strong></div>
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Want to get the most out of the gurus while they’re in Oslo? Would you like to have a deep-dive seminar with BOTH keynote speakers? Attend the GOBI post-conference seminar on June 11th.<br /></div>
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<span style="font-size: small;"><strong>Price: 3.900 NOK (Without valid GOBI pass)</strong></span></div>
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<span style="font-size: small;"><strong>Price: 2.900 NOK (With valid GOBI pass from June 10th)</strong></span></div>
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<br /><span style="color: #00ccff; font-size: small; text-decoration: underline;"><strong><a href="https://www.eventsystems.no/es/event/gobi/" style="color: black; text-decoration: none;" target="_blank"><span style="color: #00ccff;">Buy your GOBI2013 Post Conference ticket here.</span></a></strong></span></div>
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Questions about tickets? Contact: <a href="mailto:webshop.gobi@eventsystems.no" style="color: black; text-decoration: none;" target="_blank">webshop.gobi@eventsystems.no</a></div>
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</article><article id="art1" style="background-color: white; clear: both; color: #60605f; float: left; font-family: Arial, sans-serif; margin-bottom: 20px; width: 740px;"><h1 class="mh" id="4" style="font-size: 1.2em; font-weight: lighter; margin-top: 0px; text-transform: uppercase; width: 740px;">
<a href="" name="Contact us" style="color: #00b1ea;">CONTACT US</a></h1>
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For questions about the conference, please do not hesitate to contact us.</div>
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<span style="font-size: x-small;">General questions:<a href="mailto:info@gurusofbi.com" style="color: black; text-decoration: none;" target="_blank"> info@gurus</a></span><span style="font-size: x-small;"><a href="mailto:info@gurusofbi.com" style="color: black; text-decoration: none;" target="_blank">ofbi.com</a></span></div>
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<span style="font-size: x-small;">Phone +47 982 16 400. Att: Lars Rinnan.</span></div>
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Questions regarding the program: <a href="mailto:info@gurusofbi.no" style="color: black; text-decoration: none;" target="_blank"> </a><a href="mailto:info@gurusofbi.com" style="color: black; text-decoration: none;" target="_blank">info@gurusofbi.com</a></div>
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Questions about partnership at GOBI2013:<a href="mailto:info@gurusofbi.com" style="color: black; text-decoration: none;" target="_blank"> info@gurusofbi.com</a></div>
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Questions about tickets and Webshop: <a href="mailto:webshop.gobi@eventsystems.no" style="color: black; text-decoration: none;" target="_blank">webshop.gobi@eventsystems.no</a></div>
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Other practical questions: <a href="mailto:info@gurusofbi.com" style="color: black; text-decoration: none;" target="_blank">info@gurusofbi.com</a></div>
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Phone +47 975 22 172. Att: Anette Aass Flølo</div>
</article>Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-26527101994512073932013-05-28T05:19:00.001-07:002013-05-28T05:19:36.054-07:00Strategy is important, but it is the execution that counts!<div style="background-color: white; color: #333333; font-family: 'Lucida Grande', Arial, Helvetica, sans-serif; font-size: 12px; line-height: 18px; margin-bottom: 1.25em; padding: 0px;">
<a href="http://biblogg.no/wp-content/uploads/2012/10/jan-johanson.jpg" style="color: #cc0000; outline: none; text-decoration: none;"><img alt="jan johanson" class="alignleft size-full wp-image-2913" height="150" src="http://biblogg.no/wp-content/uploads/2012/10/jan-johanson.jpg" style="background-color: #f3f3f3; background-position: initial initial; background-repeat: initial initial; border: 1px solid rgb(221, 221, 221); float: left; margin: 0px 1em 1em 0px; padding: 4px; text-align: center;" width="150" /></a></div>
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<strong> Jan Johansson, VP Nordic branch of the Palladium Group</strong></div>
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You’ve developed a brilliant strategy that promises impressive results—leaps in profitability, unprecedented workforce productivity, increased efficiencies, major inroads into your competitors’ market share, or improved mission outcomes. But can you execute that strategy—put it into action through the right day-to-day processes, operations, and technologies?</div>
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90% of organizations fail at execution. That’s because they lack a comprehensive, disciplined system for managing the implementation of their strategy.</div>
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This session describes how to make strategy execution a long-term core competency in your organization—no matter what its industry, where it operates, or whether it’s a corporation, not-for-profit entity, or government agency.</div>
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Check out this presentation at the Gurus Of BI (GOBI) conference on June 1oth: <a href="http://www.gurusofbi.no/" style="color: #313428; text-decoration: none;">www.gurusofbi.no</a></div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-91356078679638944302013-05-28T04:59:00.001-07:002013-05-28T05:01:37.518-07:00Post-conference seminar with Wayne Eckerson and Cindi Howson<div style="background-color: white; color: #333333; font-family: 'Lucida Grande', Arial, Helvetica, sans-serif; font-size: 12px; line-height: 18px; margin-bottom: 1.25em; padding: 0px; text-align: center;">
<a href="http://biblogg.no/wp-content/uploads/2013/05/WC.png" style="color: #cc0000; outline: none; text-decoration: none;"><img alt="W&C" class="aligncenter wp-image-3825" height="86" src="http://biblogg.no/wp-content/uploads/2013/05/WC.png" style="background-color: #f3f3f3; border: 1px solid rgb(221, 221, 221); display: block; margin: 0px auto !important; padding: 4px;" width="594" /></a></div>
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Want to get the most out of the gurus while they’re in Oslo? Would you like to have a deep-dive seminar with BOTH keynote speakers? Attend the GOBI post-conference seminar on June 11th.</div>
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<strong><em>Secrets of Analytical Leaders: Insights from Information Insiders</em></strong> <strong>Wayne Eckerson, Principal, <span style="text-decoration: underline;"><a href="http://www.bileader.com/" style="color: #313428; text-decoration: none;" target="_blank" title="BI leader consulting">BI Leader Consulting</a></span></strong></div>
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How do you bridge the worlds of business and technology? How do you harness data for business gain? How do you deliver value from BI and analytical initiatives? Based on Wayne’s book, “<a href="http://www.amazon.com/Secrets-Analytical-Leaders-Insights-Information/dp/1935504347" style="color: #313428; text-decoration: none;" target="_blank" title="Secrets-Analytical-Leaders"><span style="text-decoration: underline;">Secrets of Analytical Leaders: Insights from Information Insiders</span></a>,” this session will unveil the secrets to success of top BI and analytical leaders from companies such as Zynga, Netflix, US Xpress, Nokia, Capital One, Kelley Blue Book and Blue KC, among others. The session will cover both the “soft stuff” of people, processes, and projects and the “hard stuff” of architecture, tools, and data required to create and sustain a successful BI and analytics program.</div>
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You Will Learn:</div>
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• How to organize a BI and analytics team for optimal performance</div>
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• How to deliver value quickly and earn credibility among business sponsors</div>
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• How to translate insights into business impact</div>
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• How to create and deploy analytical models</div>
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• How to create an agile data warehouse</div>
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<em><strong>BI Market Update and How to Choose a Visual Data Discovery Tool</strong></em> <strong>Cindi Howson, founder of <span style="text-decoration: underline;"><a href="http://www.biscorecard.com/" style="color: #313428; text-decoration: none;" target="_blank" title="BI scorecard">BI Scorecard</a></span></strong></div>
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As the face for the data warehouse, the BI tool is the most visible component to business users. BI tools continue to evolve to be more appealing, to reach new classes of users, and to speed the time to insight. At this session, BI tools expert Cindi Howson will offer strategies for managing your BI tool portfolio. She will highlight recent trends, the state of the market, differences in core modules, with a focus for selecting and deploying the right tool for the right user. The second half of the seminar provides an evaluation framework for evaluating dashboards and visual data discovery tools.</div>
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You Will Learn:</div>
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• State of the BI tools market and key trends</div>
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• State of BI standardization, motivations and challenges</div>
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• User segments, use cases, and tool positioning</div>
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• Differences in core modules</div>
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• Dashboard and visual data discovery use cases</div>
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• Strengths and weaknesses of leading products</div>
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The post-conference seminar is open for both GOBI-participants and others. Attend both GOBI main event and post-conference seminar and get discounts.</div>
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The post-conference seminar will take place at Dronning Eufemias gate 16, Bjørvika (Visma-bygget), on June 11th.</div>
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<strong>Agenda:</strong></div>
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0800-0830: <strong>Registration</strong><br />
0830-1200: <strong>Wayne Eckerson: <em>Secrets of Analytical Leaders: Insights from Information Insiders</em></strong><br />
1200-1230:<strong> Lunch</strong><br />
1300-1630: <strong>Cindi Howson: <em>BI Market Update and How to Choose a Visual Data Discovery Tool</em></strong></div>
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TICKETS AVAILABLE SOON!</div>
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Check out GOBI website <a href="http://www.gurusogbi.no/" style="color: #313428; text-decoration: none;">www.gurusofbi.no</a> for tickets.</div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-58281978982684184932013-05-22T08:01:00.001-07:002013-05-22T08:03:21.770-07:00Cool BI: Emerging Trends and Innovations in BI<br />
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AV<br />
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<a class="url fn n" href="http://biblogg.no/author/cindi-howson/" style="color: #666666; text-decoration: none;" title="Cindi Howson">CINDI HOWSON</a></address>
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– 22<abbr class="published" style="border: none;" title="2013-05-14T21:09:18+00:00">. MAI 2013</abbr></div>
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<a href="http://biblogg.no/wp-content/uploads/2012/05/Cindi2.png" style="color: #313428; text-decoration: none;"><img alt="Cindi2" class="size-full wp-image-2186 alignleft" height="137" src="http://biblogg.no/wp-content/uploads/2012/05/Cindi2.png" style="background-color: #f3f3f3; background-position: initial initial; background-repeat: initial initial; border: 1px solid rgb(221, 221, 221); float: left; margin: 0px 1em 1em 0px; padding: 4px; text-align: center;" width="109" /></a></div>
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<strong>Cindi Howson, founder of BI Scorecard</strong></div>
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It’s hard to be innovative when your BI team is deluged with fixes, fighting fires, and basic data requests. Yet to move from reactive, report-focused development to break through BI demands innovative BI teams and technologies.<br />
In this keynote, Cindi Howson, founder of BI Scorecard and author of<a href="http://www.amazon.com/Successful-Business-Intelligence-Secrets-Making/dp/0071498516" style="color: #313428; text-decoration: none;" target="_blank" title="Successful-Business-Intelligence"><i style="border-color: transparent rgb(199, 199, 199) transparent transparent; border-style: solid; border-width: 5px 5px 0px 0px; display: block; position: relative;"><span style="color: #888888;"><span style="text-decoration: underline;"><span style="color: black;">Successful Business Intelligence: Secrets to Making BI a Killer App</span></span></span></i></a>, highlights:</div>
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<li>Being proactive when there’s no time or budget for innovation</li>
<li>Evangelizing BI in a culture resistant to change</li>
<li>Prioritizing innovations that will provide the biggest value</li>
<li>The trends most disruptive to BI including mobile, social, visual data discovery, big data, and cloud.</li>
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Check out this ketnote presentation at the Gurus Of BI (GOBI) conference on June 1oth: <a href="http://www.gurusofbi.no/" style="color: #313428; text-decoration: none;">www.gurusofbi.no</a></div>
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Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-75928248099578734512013-05-22T07:57:00.000-07:002013-05-22T07:57:43.978-07:00BI-konferansen GOBI <br />
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<img alt="Mailhilsen - Kopi" src="http://biblogg.no/wp-content/uploads/2013/02/Mailhilsen-Kopi.jpg" /></div>
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BI-konferansen GOBI arrangeres for første gang i Oslo Spektrum den 10. juni i år. Dette vil være <strong>den største og mest omfattende BI-konferansen som noen gang er arrangert i Norge</strong>. Store navn som Wayne Eckerson, Cindi Howson, Donald Farmer, Timo Elliott og Marc Teerlink er på talerlisten. Flere nye navn offentliggjøres kontinuerlig.</div>
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Over 25 partnere skal bidra til at dette blir det mest interessante eventet innen BI i Norge i 2013. Microsoft, IBM og SAP er gullsponsorer og vil etablere egne spor med talere relatert til sin teknologi. I tillegg vil en programkomite fastlegge øvrige områder og talere etter at frist for «Call for Abstracts» utgår 15. April. Agendaen vil bli noe du aldri har sett maken til på norske BI konferanser.</div>
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<strong>Dette arrangementet bør du ikke gå glipp av – her vil du bli inspirert, lære noe nytt, og møte og utveksle erfaringer med store deler av Norges BI-miljø</strong>! <a href="http://www.fccircus.com/forside.html" style="color: #313428; text-decoration: none;" target="_blank"><strong><span style="color: #3366ff;">Flying Culinary Circus</span></strong></a> står for mat på ulike restaurant stands hele dagen, hvor man kan mingle rundt og plukke fritt så mange godbiter man ønsker seg.</div>
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På kvelden blir det Flying Culinary Circus Show, konsert og mat, drikke og moro!</div>
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For mer informasjon og påmelding sjekk ut <a href="http://www.gurusofbi.no/" style="color: #313428; text-decoration: none;" target="_blank">http://www.gurusofbi.no/</a></div>
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Du kan følge GOBI på <a href="http://www.linkedin.com/groups/Gurus-BI-GOBI-4847654?goback=%2Eanp_4847654_1361816912153_1%2Eanp_4847654_1361816912154_1" style="color: #313428; text-decoration: none;" target="_blank">Linkedin </a>(allerede 400 medlemmer!), <a href="https://www.facebook.com/pages/GOBI/151658901656640" style="color: #313428; text-decoration: none;">Facebook</a> og <a href="https://twitter.com/gurusofbi" style="color: #313428; text-decoration: none;">Twitter</a>.</div>
Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0tag:blogger.com,1999:blog-9032908587932915383.post-53045562170774913192013-04-14T11:32:00.003-07:002016-01-09T16:11:44.443-08:00My life in Norway: Pursuing the dream (part I)<i>Before I start telling my dream story, it would be better to say who am I in few lines:</i><br />
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Born and raised in Macedonia, spent 4-5 years in Kosova and then migrated first time in Norway. My family was one of the few interested in science, specially in math, where my father was a math professor and most of my uncles studied math or engineering. I inherited the love to science and math, continued developing my self focused in math by becoming one the best in local, national and international competition of both math and physics (kind of applied mathematics).<br />
Studied computer technology at University of Prishtina and 3 year in row won the University scholarship.</div><div>Studied with International professors from Concordia University; Vienna Institute of Technology and Institute Jean Lui Vives.</div><div><br />
Even physically in Kosova, my dream was just to move to a more prospered countries to pursue my dream of being a great scientist. I have heard of UK, US and the big american dream, but never thought of Norway....<br />
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I moved in Norway some years ago and then I come back May 2010, pursuing my dream for a better career. I never thought that this will the time when the Revolution of my life started. I will never forget the time when I was sitting home and got a call that was actually a job opportunity to work in Norway, to work for one the best companies in the World, Nordic Choice Hotels. I answered with BIG YES and came to the first interview. It was all by the plan, the first interview was successful. Waited in Oslo for a couple of days, where I got invitation for the second round which was decisive. One day after that, I got the call of my career, saying the your job opportunity is now a job offer. Without hesitating I said YES and that was the biggest "yes" of my life, because what happened after proved this conclusion. Still not understanding in what wonderful world I was stepping in.<br />
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After signing the contract and some official paper work I started to work in June/July. I was thrilling to start with my new company and bring the successful project of Business Intelligence into live.I had time read and understand the business concept and strategy of Nordic Choice Hotels, so I was ready to dive in directly to the solution.<br />
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One of the biggest highlights of my career here is meeting the owner of Nordic Choice Hotels and bunch of other business around Norway, Mr. <a href="http://en.wikipedia.org/wiki/Petter_Stordalen">Petter A. Stordalen</a>. His ability to give energy at any time in the company was special. You could feel his absence or his presence without seeing him at all.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1vyqqXLRenov22GpIP7cyoNjZVUIhvbkwnxv8xNaUrWKddFYzUMk5GNE_ZNDoYvV9NTS86u9_Ro6BrlCKIZkd58rNWh3He-fx4hiNOtUu0d4dxUX83Ccezf4M22KrLrw3T_MBKRAZaoLp/s1600/Besim+and+Petter.jpg"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1vyqqXLRenov22GpIP7cyoNjZVUIhvbkwnxv8xNaUrWKddFYzUMk5GNE_ZNDoYvV9NTS86u9_Ro6BrlCKIZkd58rNWh3He-fx4hiNOtUu0d4dxUX83Ccezf4M22KrLrw3T_MBKRAZaoLp/s400/Besim+and+Petter.jpg" /></a><br />
Me and Petter Stordalen at Garden Party<br />
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During the time being at Choice, I had the opportunity to meet other important people as well, so I learned a lot from them.<br />
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Me and my department made great efforts on creating the best BI solution for the company in a given condition and situation. So we excelled by creating this solution presented in the <a href="http://vimeo.com/28294297" target="_blank">video</a>:<br />
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<a href="http://vimeo.com/28294297" target="_blank"><img src="http://www.blogger.com/video-thumbnail.g?contentId=c2c688a70831712c&zx=g5iw0h1tshua" /></a><br />
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But things came to an end, sometimes without our willing, so in April I had to change my job and pursue my professional dream at Nextbridge AS. </div><div><br />
</div><div><b>Why Nextbridge AS?</b></div><div><br />
</div><div><span style="background-color: white; color: #333333; font-family: Arial, sans-serif; font-size: 13.333333969116211px; line-height: 16.99652862548828px;">NextBridge is an IT-consultancy dedicated solely to business intelligence (BI). The company encompasses more than 100 years of collective experience in this field. Our services span most areas of the BI field; from DWH to reporting, from scorecards and dashboards to data mining and statistical analysis, from BI Competency Centers to maturity analysis. </span><br />
<span style="background-color: white; color: #333333; font-family: Arial, sans-serif; font-size: 13.333333969116211px; line-height: 16.99652862548828px;">NextBridge assists the largest and most demanding clients in improving their managerial information. Our client segment is Norwegian Top 500 accounts and include Sparebank1, SG Finans, Gjensidige, BNBank, Helse Nord and NorgesEnergi . NextBridge consultants are bilingual, and speak both business and IT. Our mission is ”Bridging business and IT at the next level”. Our vision is to be the reference in the field of BI.</span></div><div><br />
The blog post is public, I would not share too much of the details, so I will just jump to give a introduction of my professional profile:<br />
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""<br />
I am an IT professional with focus on Business and Data Analytic, prefer to call myself Data Scientist. I have in depth experience using and implementing business intelligence/data analysis tools with greatest strength in the Microsoft SQL Server / Business Intelligence Studio SSIS, SSAS, SSRS. I have designed, developed, tested, debugged, and documented Analysis and Reporting processes for enterprise wide data warehouse implementations using the SQL Server / BI Suite. I also have designed/modeled OLAP cubes using SSAS and developed them using MS SQL BIDS SSAS and MDX. Served as an implementation team member where I translated source mapping documents and reporting requirements into dimensional data models. Strong ability to work closely with business and technical teams to understand, document, design and code SSAS, MDX, DMX, DAX abd ETL processes, along with the ability to effectively interact with all levels of an organization. Additional BI tool experience includes ProClarity, Microsoft Performance Point, MS Office Excel and MS SharePoint.<br />
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<div><b>Professional highlights:</b><br />
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1. Worked for <a href="http://www.no.capgemini.com/">Capgemini Norway AS</a><br />
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2. Worked for <a href="https://www.nordicchoicehotels.no/">Nordic Choice Hotels AS</a><br />
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3. Working for <a href="http://www.nextbridge.no/">Nextbridge AS</a><br />
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<b>Academic Honors:</b></div><div><br />
</div><div><b>MIT Honor Code Certificate:</b> CS and Programming (04.06.2013)<br />
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<a href="https://s3.amazonaws.com/verify.edx.org/downloads/315175a0f4bf4a859309b644412a31c8/Certificate.pdf" target="_blank"><b>Harvard University Honor Code Certificate</b>: Computer Science</a> (15.04.2013)</div><div><br />
<b>Princeton University Honor Code Certificate</b>: Analytic Combinatorics (10.07.2013)</div><div><br />
<b>Stanford University Honor Code Certificate:</b> <a href="https://www.coursera.org/maestro/api/certificate/get_certificate?course_id=970506" target="_blank">Mathematical Thinking</a>,, Cryptography (06.05.2013)</div><div><br />
<a href="https://s3.amazonaws.com/verify.edx.org/downloads/b5b77c879ee64e9ea7f0f0e930eeacd0/Certificate.pdf"><b>The University of California At Berkeley Honor Code Certificate</b></a>: Descriptive Statistics</div><div><br />
<b>IIT University Honor Code Certificate</b>: Web Intelligence and Big Data (02.06.2013)<br />
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<b>Wesleyan University</b>: <a href="https://www.coursera.org/maestro/api/certificate/get_certificate?course_id=970229" target="_blank">Passion Driven Statistics</a> (20.05.2013)</div><div><br />
<a href="http://bim-businessintelligence.blogspot.no/2012/03/ts-microsoft-sql-server-2008-business.html">MCTS 70-448: Microsoft® SQL Server® 2008 Business Intelligence Development and Maintenance</a></div><div><br />
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<b>Career Highlights:</b></div><div><br />
1. Over Nine years of experience in the field of Information Technology, System Analysis and Design, Data<br />
warehousing, Business Intelligence and Data Science in general<br />
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2. Experienced in implementing / managing large scale complex projects involving multiple stakeholders and<br />
leading and directing multiple project teams<br />
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3. Track record of delivering customer focused, well planned, quality products on time, while adapting to<br />
shifting and conflicting demands and priorities.<br />
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4. Experience in Data warehouse / Business Intelligence developments, implementation and operation setup<br />
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5. Expertise in Data Modeling, Data Analytics and Predictive Analytics SSAS, MDX and DMX<br />
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6. Strong Knowledge in Data warehouse, Data Extraction, Transformation, and Loading ETL<br />
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7. Excellent track record in developing and maintaining enterprise wide web based report systems and portals in Finance, Enterprise wide solutions and BI and Strategy Systems<br />
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8. Best new employee for 2011 of Nordic Choice Hotels AS<br />
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<b>Achievments:</b><br />
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1. First place in reagional math competitions in 2 years in a row<br />
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2. First place in Physics competition in a Balkaniada (Balkan Olympics in Theoretical Physics)<br />
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3. First place in fast math competition in <a href="http://www.thalescyprus.com/index.php?id=78">International Kangourou Competition</a></div><div><br />
</div><div>4. First place in Norway in Microsoft Virtual Academy (Microsoft Business Intelligence)</div><div><br />
</div><div><div><b>Research Work:</b></div><div><b><br />
</b></div><div>1. Riccati Differential Equation solution (published in printed version Research Journal)</div><div><br />
</div><div>2. <a href="http://www.ijser.org/onlineResearchPaperViewer.aspx?The-Intelligent-Universe-Everything-comes-from-nothing.pdf" target="_blank">“Everything” comes from “Nothing”: The Intelligent Universe</a>, published IJSER 10 October edition</div><div><br />
</div><div>3. <a href="http://www.ijser.org/researchpaper%5CElegant-Solutions-Personal-Finance-Intelligence.pdf" target="_blank">Personal Finance Intelligence</a>; published in IJSER 8 August 2012 edition</div><div><br />
</div><div>4. <a href="http://blogs.siliconindia.com/BusinessIntelligence/Predictive_analysis-bid-Auz9kvPB44556767.html" target="_blank">Predictive Analytics vs. Data Mining (Is DMX dead already?) </a>in Silicon India</div><div><br />
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</div><div><b><u>Next you will read: Life in Norway: Living the dream (part II), STAY TUNED!</u></b></div></div></div></div></div>Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com2tag:blogger.com,1999:blog-9032908587932915383.post-45165925462236152152013-03-12T01:26:00.000-07:002013-11-27T01:42:45.652-08:00BIG DataBIG Data: Is this about data at all?<br />
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<em>Inspired by: Rafal Lukawiecki’s seminar about Business Analytics and Big Data, Microsoft Norway</em><br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQGqjJcrGZ0vSrOQu231C436dlttpaGyVIsgUc_rSvN4Jx3MwI62prhx2agOpSW4tkNE2Gmxzlytvptkt-Kmzl8c9_99OEGYWXbY1yw-qCYOdfRrsoJwW1npXTPkqA4uu-aEM8BMsT3DsX/s1600/Me+and+Rafal.jpg" imageanchor="1" style="clear: left; cssfloat: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="150" psa="true" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiQGqjJcrGZ0vSrOQu231C436dlttpaGyVIsgUc_rSvN4Jx3MwI62prhx2agOpSW4tkNE2Gmxzlytvptkt-Kmzl8c9_99OEGYWXbY1yw-qCYOdfRrsoJwW1npXTPkqA4uu-aEM8BMsT3DsX/s200/Me+and+Rafal.jpg" width="200" /></a></div>
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<strong>Intro</strong><br />
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Wikipedia defined BIG Data as a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. But this definition does not include the main reason why Big Data is actual nowadays and what was the purpose to re-invent this technology. Here is a visualization map for BIG Data and how is that large amount of data is generated:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg8zjsqeKG32RQ90Nu3kje3mMWfTEqfRgKK59-HVLX7dlcnKvAxXT82KctryMdh1sPo1f4L5jZ1wWjjmVJtZzZzh0st5qm1aiTlkZjE90v_3yy7AB9ROBTUFIw134yDOY9f2H-l2SqUqpUL/s1600/Big+Data.jpg" imageanchor="1" style="clear: left; cssfloat: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="252" psa="true" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg8zjsqeKG32RQ90Nu3kje3mMWfTEqfRgKK59-HVLX7dlcnKvAxXT82KctryMdh1sPo1f4L5jZ1wWjjmVJtZzZzh0st5qm1aiTlkZjE90v_3yy7AB9ROBTUFIw134yDOY9f2H-l2SqUqpUL/s400/Big+Data.jpg" width="400" /></a></div>
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Fig1. Big Data visualization by WIPRO<br />
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As you can see from the figure, Big Data aims to represent a large set of data with a single point (a value or a expression) so that make sense for us.<br />
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<strong>BIG DATA: how big is World data?</strong><br />
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Big Data is one of the most famous words around the world describing a new technology that will handle the big amount of data that is generated every day for analytic purposes. But, anyway handling Big Data is not any problem because we are witnessing everyday that hardware capacity expands as data volume expands and also hardware is getting cheaper day by day. So the definition BIG is not at all the case of Big Data, so the hardware capacity can hold whatever BIG Data can be. The average data set of the whole World is calculated to be 1.5 GB and that is an average memory stick, even though an average RAM (in-memory) capacity.<br />
Anyway, if the case is not capacity and size then what is it?<br />
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<strong>BIG Data: what about data?</strong><br />
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Data is important part of BIG Data, but is this meaning of the concept behind the BIG Data? The answer is NO and to be correct BIG Data is just a meaningless buzzword created only for masses. Behind this name does not exist any concept of the Big Data. If you look at the data you can’t say nothing than is big or small, has 1, 2, 3 … n sources and is rapidly/slowly expanding etc…, but that is not what BIG Data is interested to solve at all. If you think the size is the matter, then you are wrong again, so Big Data is not about BIGness at all.<br />
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BIG Data is interested to answer the users and not developers, is not an optimizing tool but it is actually an answering machine. <br />
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<strong>BIG Data: The real case?!</strong><br />
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The real deal in BIG Data is that BIG Data tries to generate a single answer (I like to call: the single truth) from a huge input of data. If the answer is the only output of BIG Data processing, so logically BIG Data is dependent on QUESTION. So, the real deal behind BIG Data is the question itself. If you are in a dilemma whether to choose or not BIG Data technology over traditional database technologies you should look not in the size and not in the data itself, but simply in your queries that you are going to use on that set of data. So, I agree totally with Rafal when he says that the reason existence of Big Data technologies are in the answer that we want to get from BIG Data. <br />
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<strong>Conclusion</strong><br />
BIG Data is just another buzz word without having to deal with the contest itself, but better when we know before we use it. Even thou, we can’t change the trends for this buzzword; at least we can support and use the technology as much as we can.<br />
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<br />Besim Ismailihttp://www.blogger.com/profile/12776109732482150034noreply@blogger.com0