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Data Science Fundamentals Pocket Primer
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Data Science Fundamentals Pocket Primer

Book Details

Format Paperback / Softback
Book Series Pocket Primer
ISBN-10 1683927338
ISBN-13 9781683927334
Publisher Mercury Learning & Information
Imprint Mercury Learning & Information
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 8th, 2021
Print length 428 Pages
Weight 821 grams
Product Classification: Computer science
Ksh 9,850.00
Werezi Extended Catalogue 0 in stock

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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].

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