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Data Science 101

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Data Science 101

William is a Data scientist at Quora, interested in data-driven decision making to improve both product and business. Always interested in learning new things and exploring the ubiquity of data in everyday life. The Interviewees DJ Patil is VP of Product at RelateIQ (acquired by Salesforce). He’s held many other roles,

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Big DataData Science 101

2014 has been a huge year in big data- and big data publishing. Viktor Mayer-Schoenberger and Kenneth Cukier re-published and added an extra chapter to their bestselling “Big Data”; Nate Silver graced the publishing world with his presence once more with the Best American Infographics of 2014. We’ve compiled a

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Data ScienceData Science 101

Unfortunately, one great idea does not make a successful company. When it comes to founding a data science startup, a visionary idea is essential, but so is hiring the right team, gaining an in-depth knowledge of your market, and putting in place the best business practices to help your idea

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Big DataData Science 101

Ali Rebaie is a Big Data & Analytics industry analyst and consultant of Rebaie Analytics Group. He provides organizations with a vendor-neutral selection of business intelligence & big data technologies and advice on big data and information management strategy and architecture. Ali also appeared in several lists of “Who’s Who

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Data Science 101

According to a recent survey by EMC, 9% of Data Science professionals have a Doctoral Degree, 31% have a Master’s Degree and 27% an Undergraduate Degree. This rather blows out of the water the myth that all Data Scientists have to have a Ph.D. Over the next five years, 63%

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Data Science 101

My first article on “How To Become A Data Scientist” explored the basic four different types of Data Scientist – Data Business People, Data Creatives, Data Developers and Data Researchers (as per the O’Reilly study “Analysing the Analysers”). It highlighted the need for a data science team with diverse and

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Big Data Online Course
Data Science 101Featured

The explosion of hype around the term “big data” ushered in a rabid desire in companies big and small to get their hands on employees with a data science skill set. For evidence, you need look no further than Indeed’s graph of the number of big data-related job postings: If you

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Data ScienceData Science 101

Part of the field of predictive analytics has recently been thrust into the spotlight under a new name: Big Data. As specialist recruiters in this fast developing sector, we often fulfil an educational role with our clients – helping them define role requirements and understanding what sort of candidate would

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Data Science 101infographics

   

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BI & AnalyticsData Science 101

Our three part Business Intelligence series has looked at the key developments in BI from the 1960’s all the way to the late 1990’s. In the first edition, we focused on the way data storage changed from hierarchical database management systems (DBMS), like IBM’s IMS in the 60’s, to network

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