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    The Data Science Report captures the most compelling news, videos, books and events related to hiring and careers within "big data" science and advanced analytics.  If it's important, you'll find it here!

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Wednesday, October 18th, 2017

Today's New Articles

In this OnDemand webinar, you will learn how and why the techniques pioneered in 5 specific info graphics and visualizations make these visualizations categorize them as the five most influential and the reasons you may want to incorporate these techniques within your own projects.

By Harish Kotadia, Ph.D. | Here’s a compilation of Harish's 5 favorite YouTube videos on the topic of "Big Data". Please note that they are in random/no particular order. Hope you enjoy these videos!  

Vincent Granville of Data Science Central writes that there are two types of data scientists: Vertical data scientists & Horizontal data scientistsIn this article he writes about the key differences and why companies and recruiters need know the difference.

By Violet Blue for Pulp Tech. In a very different kind of "big data" talk than other SXSW 2013 big data presentations, Splunk developer Ed Hunsinger explained how he gathered personal data output of things ranging from sleep machines to Foursquare and created informative data visualizations out of his everyday habits.

Explaining a host of opportunities in data science, Gaurav Vohra busts some related myths. Data Science has emerged as one of the most exciting fields. Since it is a new field there is both excitement and confusion about it. Data science is a beautiful combination of technology, business, and mathematics that impacts every facet of our life...

Book Review: "Big Data" By Bill Kist is a professor at Kent State University.  "You may have been introduced to the concept of "big data" during the last days of the 2012 presidential election, when The New York Times' Nate Silver predicted President Obama's victory as a statistical certainty. In "Big Data," Viktor Mayer-Schonberger, a professor, and Kenneth Cukier, an editor for The Economist, explain how huge data sets and some fast computers can predict not only election results but whether you're going to commit credit card fraud, throw a wrestling match, or get pregnant."

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