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:
| ISBN: | 9781683927334 |
| Publication date: | 8th June 2021 |
| Author: | Oswald Campesato |
| Publisher: | Mercury Learning & Information an imprint of Mercury Learning and Information |
| Format: | Paperback |
| Pagination: | 450 pages |
| Series: | Pocket Primer |
| Genres: |
Computer science |
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.
Data Science Fundamentals features in the following genres: Computer science
Paperback. £46.80, down from the £52.00 cover price. Not Available.
Data Science Fundamentals was written by Oswald Campesato and published by Mercury Learning & Information an imprint of Mercury Learning and Information
Data Science Fundamentals has 450 pages
Yes it is part of Pocket Primer series
£46.80, reduced from £52.00. Not Available.