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Data Science Fundamentals Pocket Primer 1st Edition Oswald Campesato

  • SKU: BELL-36904126
Data Science Fundamentals Pocket Primer 1st Edition Oswald Campesato
$ 31.00 $ 45.00 (-31%)

4.3

68 reviews

Data Science Fundamentals Pocket Primer 1st Edition Oswald Campesato instant download after payment.

Publisher: Mercury Learning and Information
File Extension: PDF
File size: 4.25 MB
Pages: 451
Author: Oswald Campesato
ISBN: 9781683927334, 1683927338
Language: English
Year: 2021
Edition: 1

Product desciption

Data Science Fundamentals Pocket Primer 1st Edition Oswald Campesato by Oswald Campesato 9781683927334, 1683927338 instant download after payment.

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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