# Grokking Statistics (Manning)

**URL:** <https://forum.devtalk.com/t/grokking-statistics-manning/215929>\
**Category:** Data Science\
**Tags:** published-book, statistics, data-science, manning, machine-learning, statistical-analysis, probability, python\
**Created:** [24 September 2025 09:37 UTC](https://forum.devtalk.com/t/grokking-statistics-manning/215929 "2025-09-24T09:37:19Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![ManningBooks](https://forum.devtalk.com/user_avatar/forum.devtalk.com/manningbooks/32/1650_2.png) [@ManningBooks](https://forum.devtalk.com/u/ManningBooks)\
**Post date:** [24 September 2025 09:37 UTC](https://forum.devtalk.com/t/grokking-statistics-manning/215929/1 "2025-09-24T09:37:19Z")

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With _Grokking Statistics_, you’ll build a strong foundation in statistical analysis by working through engaging mini projects that put each skill you learn into practice immediately.

 ![Nield-HI](https://forum.devtalk.com/uploads/default/original/2X/2/2fa3325d25011018a9e89f404bd49fde77b7d1c6.jpeg)

### Thomas Nield

**Grokking Statistics** by Thomas Nield introduces core statistical ideas in a clear, practical way, with an emphasis on building intuition and applying methods to real-world problems. The book is now available in early access (MEAP), giving readers the opportunity to explore chapters as they are written.

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### Key topics covered

- **Probability distributions** and how they reveal the shape and behavior of data

- **Samples and populations** , including the Central Limit Theorem

- **Confidence intervals and hypothesis testing** as tools for drawing reliable conclusions

- **Regression methods** such as linear and logistic regression

- **Common pitfalls** including p-hacking, logical fallacies, and biased incentive structures

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### Approach and style

The book emphasizes accessibility without sacrificing rigor. Concepts are explained using **Python-based examples** and grounded in **real-world datasets** , such as NOAA tornado data and other practical case studies. Each chapter combines theory with hands-on exercises to reinforce understanding.

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### Audience

- Developers seeking a stronger foundation in statistics for data-driven applications

- Data analysts and scientists who want to sharpen their statistical reasoning

- Students or professionals preparing to apply statistical methods in research or industry settings

- Educators looking for approachable examples to illustrate statistical principles

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### Availability

- **Launched in MEAP:** September 2025

- **Chapters available:** 3 of 11 currently released

- **Estimated full publication:** Spring 2026

- Formats: eBook (immediate), print upon completion

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- Full details: [https://www.manning.com/books/grokking-statistics](https://www.manning.com/books/grokking-statistics)

_Don’t forget you can get 45% off with your Devtalk discount! Just use the coupon code “**[devtalk.com](http://devtalk.com)**” at checkout 👍_

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**Author:** ![jss](https://forum.devtalk.com/letter_avatar_proxy/v4/letter/j/cdc98d/32.png) [@jss](https://forum.devtalk.com/u/jss)\
**Post date:** [24 September 2025 22:57 UTC](https://forum.devtalk.com/t/grokking-statistics-manning/215929/2 "2025-09-24T22:57:35Z")

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Another book I am very interested in 🙂