Data Science Can Be Easy

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Uploaded by Thomas Creel on 7/8/2015
In order to obtain the most value possible from data assets, increase business agility, and differentiate from the competition organizations are increasingly turning to the emerging field of Data Science. This field can prove challenging as it brings together parts of statistics, science, technology, and business into one. Join me as we explore why data science can be easier than you think. We will walk through why data science can be challenging, review the process to attack data science challenges, discuss tools that allow for rapid prototyping, and walk through a prescriptive list of steps to move you closer to your first implementation.
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