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Data Science Fundamentals Pocket Primer - Pocket Primer
Oswald Campesato
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Data Science Fundamentals Pocket Primer - Pocket Primer
Oswald Campesato
As part of the 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.
450 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | June 8, 2021 |
| ISBN13 | 9781683927334 |
| Publishers | Mercury Learning & Information |
| Pages | 428 |
| Dimensions | 150 × 220 × 10 mm · 647 g |
| Language | English |
