Data Science Fundamentals Pocket Primer
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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 files with source code and color figures are available. FEATURES: Includes a concise introduction to Python 3 and linear algebra Provides a thorough introduction to data visualization and regular expressions Covers NumPy, Pandas, R, and SQL Introduces probability and statistical concepts Features numerous code samples throughout Companion files with source code and figures The companion files are available online by emailing the publisher with proof of purchase at [email protected].
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"
Grade Range:Postsecondary
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