November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Thinking like a data scientist
As we've already stressed, agreement on the concepts of what a data scientist is and does are still just emerging. The entire field of data science is at best roughly defined. Transitioning to data science is perhaps as much about finding an organization or group whose needs match your skills as it is about understanding what skills and concepts are involved in data science and then working towards developing those skills.
Just as a data developer stays up to date and knowledgeable on the trends and tools in and around the manipulation of and access to data, so should the would-be data scientist.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.