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Data Science 101

Data Science 101

Yesterday, Onalytica released their report, announcing the top 100 big data influencers, and top 100 influencing brands, based on analysis of the #BigData hashtag on Twitter. The study analysed 403,185 #BigData tweets from 69,894 users, and used their unique influencer identifying technology to determine these users’ social clout. Whereas many

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Data Science 101News

The list for 25 Hottest Skills of 2014 that got people hired according to the business networking service provider, LinkedIn, came out mid-December last year, and there has been a significant shuffling since 2013. What came out on top as the number one on this list was Statistical Analysis and

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Data Science 101

Just because you have a “hammer”, doesn’t mean that every problem you come across will be a “nail”. The intelligent key thing is when you use  the same hammer to solve what ever problem you came across. Like the same way when we indented to solve a datamining problem  we

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BI & AnalyticsData Science 101Machine Learning

One of most popular posts this year came from Ferris Jumah, a data scientist at LinkedIn, who mapped the most popular skills of data scientists by scraping LinkedIn profile data. One of the common comments amongst data scientists who came across this post- as with most of our posts focused

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data-visualization
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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