Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.
This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.
Key Features:
| ISBN: | 9781032346748 |
| Publication date: | 22nd February 2024 |
| Author: | John M Shea |
| Publisher: | Chapman & Hall/CRC an imprint of CRC Press |
| Format: | Hardback |
| Pagination: | 488 pages |
| Series: | Chapman & Hall/CRC Data Science Series |
| Genres: |
Data science and analysis: general Probability and statistics Programming and scripting languages: general |
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming.
Foundations of Data Science With Python features in the following genres: Data science and analysis: general, Probability and statistics, Programming and scripting languages: general
Hardback, Paperback. £189.00, down from the £210.00 cover price. Not Available.
Foundations of Data Science With Python was written by John M Shea and published by Chapman & Hall/CRC an imprint of CRC Press
Foundations of Data Science With Python has 488 pages
Yes it is part of Chapman & Hall/CRC Data Science Series series
£189.00, reduced from £210.00. Not Available.