**Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2nd Edition** by Peter Bruce, Andrew Bruce, and Peter Gedeck is a practical guide to the statistical concepts most useful for data science.
The book explains exploratory data analysis, sampling, probability, statistical experiments, significance testing, regression, classification, statistical machine learning, and unsupervised learning. The second edition adds practical examples using both **R and Python**, helping data scientists understand how to apply statistical methods correctly and avoid common mistakes.
It is a useful reference for data scientists, analysts, programmers, machine learning students, and anyone looking to strengthen their practical statistics skills.
Format: Paperback
Edition: 2nd Edition
ISBN: 9781492072942
Publisher: O'Reilly Media
Pages: 350–368 pages depending on printing/listing
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