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Data Science Fundamentals : Pocket Primer, Paperback / softback Book

Data Science Fundamentals : Pocket Primer Paperback / softback

Part of the Computer Science series

Paperback / softback


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 algebraProvides a thorough introduction to data visualization and regular expressionsCovers NumPy, Pandas, R, and SQLIntroduces probability and statistical conceptsFeatures numerous code samples throughout Includes companion files with source code and figures


  • Format:Paperback / softback
  • Pages:450 pages
  • Publisher:Mercury Learning & Information
  • Publication Date:
  • Category:
  • ISBN:9781683927334


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