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Developing Analytic Talent: Becoming a Data Scientist Vincent Granville
Publisher: Wiley

On the data analysis front, there are Not surprisingly, the demand for analytic talent has been growing, with McKinsey calling Big Data the next frontier of innovation. May 10, 2014 - Developing Analytic Talent: Becoming a Data Scientist By Vincent Granville 2014 | 336 Pages | ISBN: 1118810082 | EPUB + PDF + MOBI | 1 MB + 3 MB + 3 MB Learn the skills needed for the most. Nov 6, 2013 - The “should we or shouldn't we outsource data science” discussion is heating up in board-rooms and executive suites as analytics becomes core to the firm, C-level execs have to consolidate efforts for delivering the same services to different groups within an organization. Apr 1, 2014 - Analytics is huge and still growing, so if you're responsible for hiring, you're probably going to need to know how to write a job description for a data scientist before long. Outsource the Analytics Platform development and support or keep it in-house in the IT function or LoB; Outsource the modeling and data science part or hire/build the capabilities in-house? So, let's make this clear The amount of effort being put into broadening the talent pool for data scientists might be the most important change of all in the world of data. Mar 27, 2014 - Enterprises are increasingly storing massive amounts of data in Hadoop to streamline the path to actionable insights, develop advanced analytics models, and build big data tools that were previously unattainable for most organizations. Gartner analyst Svetlana Sicular pokes fun at the whole category of data science, laughing that “a data scientist is 1) a data analyst in California or 2) a statistician under 35.” That's a big In reality, there's more to being a data scientist than simply upgrading one's job title. May 16, 2014 - Some of big data's most promising applications are in medicine, as healthcare systems could leverage the patient information being collected with healthcare IT systems to operate more efficiently and provide better care at a lower cost. Besides such predominant companies, I'd Such Valley companies themselves are the huge consumers of big data and have strong incentives to develop analytical solutions beyond their high technology product pipelines. Doubts, Nagy pitches data analytics to skeptics as a development that could be as revolutionary to medicine as the invention of the microscope in the 1600s, which opened up a new world of information to physicians and scientists. Nov 4, 2012 - On the data storage front, for example, new technology is quickly developed under the Hadoop umbrella. €�Although data scientists possess a rich and dynamic skill sets, keep in mind a long list of requirements may unintentionally eliminate a group of great candidates that are more than capable of doing the job, but may not meet every single skill on the list,” Shin advises. Given the level of interest in Big Data, it's not surprising that enterprises are willing to pay hefty salaries to recruit top talent, particularly given the difficulty in sourcing such talent. As a result, the The situation is complicated by the fact that there has historically not been a clearly established skill set or university degree that an individual could acquire to qualify as a data scientist. 3 days ago - Included in the Data Science Pack are three utilities designed to simplify life for users working with Pentaho's Weka open source data mining project and the R statistical language, two of the most widely used analytic technologies in the industry. Jan 29, 2014 - In the words of Rob Bearden, CEO of Hortonworks, the career as a data analyst is one of the most sought after position these days. Sep 14, 2011 - Tom Davenport reported an observation that Silicon Valley is becoming more analytical since companies in the Valley such as Google, Facebook, eBay, LinkedLn all have strong presences in analytics. Jan 17, 2013 - Third, data scientists will increasingly be sourced, as needed, from external professional services firms, such as IBM's Business Analytics and Optimization group, or will be developed in-house.