Data Science Fundamentals - Pocket Primer (Paperback)

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 Includes companion files with source code and figures

General

Imprint:	Mercury Learning & Information
Country of origin:	United States
Series:	Computer Science
Release date:	May 2021
Authors:	Oswald Campesato
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	450
ISBN-13:	978-1-68392-733-4
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Promotions
LSN:	1-68392-733-8
Barcode:	9781683927334

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