Data Science Fundamentals Pocket Primer Paperback / softback
by Oswald Campesato
Part of the Pocket Primer series
Paperback / softback
Description
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
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:428 pages
- Publisher:Mercury Learning & Information
- Publication Date:08/06/2021
- Category:
- ISBN:9781683927334
Other Formats
- PDF from £44.55
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:428 pages
- Publisher:Mercury Learning & Information
- Publication Date:08/06/2021
- Category:
- ISBN:9781683927334