Data Science Fundamentals Pocket Primer
by: Oswald Campesato
Print Length 页数: 428 pages
Edition 版本: 1
Publisher finelybook 出版社: Mercury Learning and Information
Released: 2021-05-25
ISBN-10: 1683927338
ISBN-13: 9781683927334
Book Description
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 tosome basic features of data analytics and also covers statistics,data visualization,linear algebra,and regular expressions. The book includes numerous code samplesusing 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
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Data Science Fundamentals Pocket Primer 9781683927334.zip
