Think Stats
Book •
Think Stats is an introduction to probability and statistics for Python programmers.
It focuses on conceptual understanding rather than mathematical rigor.
The book uses real-world datasets and examples to illustrate statistical concepts.
It covers topics such as descriptive statistics, probability distributions, hypothesis testing, and regression.
Think Stats teaches readers how to use Python libraries like NumPy and Pandas to perform statistical analysis and data exploration, suitable for students and professionals who want to learn statistics with a practical, coding-based approach.
It focuses on conceptual understanding rather than mathematical rigor.
The book uses real-world datasets and examples to illustrate statistical concepts.
It covers topics such as descriptive statistics, probability distributions, hypothesis testing, and regression.
Think Stats teaches readers how to use Python libraries like NumPy and Pandas to perform statistical analysis and data exploration, suitable for students and professionals who want to learn statistics with a practical, coding-based approach.
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Mentioned as one of the other books written by Alan Downey.
Allen B. Downey, "Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions" (U Chicago Press, 2023)
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Gregory McNiff
Allen B. Downey, "Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions" (U Chicago Press, 2023)
