
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
by Peter Bruce and Andrew Bruce (2017)
Like 'Think Stats', this book offers a practical, computational approach to statistics for data science.

by Allen B. Downey (2011)
Teaches the entire exploratory data analysis process using a single case study.--
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by Peter Bruce and Andrew Bruce (2017)
Like 'Think Stats', this book offers a practical, computational approach to statistics for data science.

by Charles Wheelan (2012)
Similar to 'Think Stats', this book demystifies statistical concepts with real-world examples.

by Alex Reinhart (2013)
Following 'Think Stats', this book highlights common statistical errors to avoid in research.

by Allen B. Downey
As a companion to 'Think Stats', this book applies a similar computational approach to Bayesian statistics.

by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (2023)
Like 'Think Stats', this book teaches statistical concepts using Python with practical applications.
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