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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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Thursday, May 25th, 2017

Today's New Articles

Joe Caserta's Blog on Wired.com: The Data Scientist isn’t a new concept. The science of analyzing data has been around for a long time. For years, companies have been utilizing a data science team, consisting of a group of statisticians, technologists and business subject matter experts, to collectively solve problems and provide solutions. However, previously buried in the back room of the IT department, data scientists are now the hot ticket in the business world, with Indeed.com reporting that the growth rate for this profession has reached more than 4,000 percent.

Posted by Amy on April 27, 2013 at 10:27am: Has anyone tried the Quandl search engine data set? It allows you to search and download over 5 million Datasets.

BY: LYDIA DISHMAN:  The bid for tech talent in the bastion of geekdom that is Silicon Valley is a serious pursuit for two women who are shaping startups and high-growth companies, one individual, and one connection, at a time.

Maria Deutscher | April 19th: Data scientists are a rare commodity in today’s job market, and this is not expected to change anytime soon.  Leading Hadoop distributor Cloudera is hoping to address this widening knowledge gap by doubling down with academia.  The vendor just announced that it is launching the Cloudera Academic Partnership, a program meant to help universities equip students with the skills necessary to accelerate the “new Big Data economy”.  The first seven higher education institutions that signed up for CAP are:

The proliferation of Big Data has forced agencies to consider its great potential to revolutionize federal operations.  As a result, many agencies are trying to train and/or hire a workforce to leverage Big Data, but in the current budget climate, new hires and investing in training courses is proving to be difficult or impossible.

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