Treffer: Foundations of Data Science with Python: by John M. Shea, Boca Raton, FL: Chapman & Hall/CRC Press, 2024, xiv + 488 pp., $250.00(H), ISBN: 978-1-032-34674-8.

"Foundations of Data Science with Python" by John M. Shea is a comprehensive introduction to data science using Python, incorporating real data examples like COVID-19 datasets. The book covers topics on probability, hypothesis testing, and statistical inference, appealing to beginners with its step-by-step guidelines and Python code. While the book lacks a discussion on data cleaning, it offers a valuable resource for those seeking basic knowledge of data science and is suitable as a textbook for introductory courses in the field. [Extracted from the article]

Copyright of American Statistician is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)