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Data Science Fundamentals Pocket Primer

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Expire in August, 21 2024

155.16 SAR

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Note: This product is digital and will be delivered through the e-mail that was entered when registering on the site, you’ll receive an e-mail message containing the digital product code that you will use later for activation once the payment is completed. To learn how to get the product please click here

Expire in November, 19 2024

206.88 SAR

Inclusive of VAT


Note: This product is digital and will be delivered through the e-mail that was entered when registering on the site, you’ll receive an e-mail message containing the digital product code that you will use later for activation once the payment is completed. To learn how to get the product please click here

Discription

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 info@merclearning.com.

ISBN 9781683927334
EISBN 9781683927310
Author Oswald Campesato
Publisher Stylus Publishing LLC

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