RT @michelmorvan: Investigating #DataScientist: skills and team makeup http://t.co/wJFSJEMGc5 #BigData http://t.co/7wETnmzw2k

Our world of Big Data requires that businesses, to outpace their competitors, optimize the use of their data. Understanding data is about extracting insights form the data to answer questions that will help executives drive their business forward. Do we invest in products or services to improve customer loyalty? Would we get greater ROI by hiring more staff or invest in new equipment?

Getting insights from data is no simple task, often requiring data science experts with a variety of different skills. Many pundits have offered their take on what it takes to be a successful data scientist. Required skills include expertise in business, technology and statistics. In an interesting study published by O’Reilly, researchers (Harlan D. Harris, Sean Patrick Murphy and Marck Vaisman) surveyed several hundred practitioners, asking them about their proficiency in 22 different data skills. Confirming the pundits’ list of skills, these researchers found that data skills fell into five broad areas: Business, ML / Big Data, Math / OR, Programming and Statistics.

Read more at http://www.business2community.com/big-data/investigating-data-scientists-their-skills-and-team-makeup-01335085#VMLPAhFRVIm7rTOo.99

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