Data Science Fundamentals Pocket Primer (Paperback)

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Data Science Fundamentals Pocket Primer (Paperback)

$59.95


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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
Product Details ISBN: 9781683927334
ISBN-10: 1683927338
Publisher: Mercury Learning and Information
Publication Date: May 25th, 2021
Pages: 428
Language: English
Series: Pocket Primer