Data Science Fundamentals Pocket Primer

by Oswald Campesato

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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion...

Format:Paperback

Language:English

ISBN:1683927338

ISBN13:9781683927334

Release Date:May 2021

Publisher:Mercury Learning and Information

Length:428 Pages

Weight:3.80 lbs.

Dimensions:1.2" x 8.3" x 11.1"

Related Subjects

Computers Computers & Technology

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Data Science Fundamentals Pocket Primer

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