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https://github.com/dariubs/awesome-statistics

A curated list of awesome statistics resources
https://github.com/dariubs/awesome-statistics

List: awesome-statistics

algorithms awesome awesome-list data-science machine-learning statistics

Last synced: about 1 month ago
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A curated list of awesome statistics resources

Host: GitHub
URL: https://github.com/dariubs/awesome-statistics
Owner: dariubs
Created: 2021-06-19T08:34:05.000Z (about 3 years ago)
Default Branch: main
Last Pushed: 2021-10-27T08:27:15.000Z (almost 3 years ago)
Last Synced: 2024-08-13T08:05:24.952Z (about 1 month ago)
Topics: algorithms, awesome, awesome-list, data-science, machine-learning, statistics
Homepage:
Size: 47.9 KB
Stars: 14
Watchers: 2
Forks: 2
Open Issues: 0
Metadata Files:
- Readme: README.md

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ultimate-awesome - awesome-statistics - A curated list of awesome statistics resources. (Other Lists / PowerShell Lists)

README

        # Awesome Statistics [![Awesome](https://awesome.re/badge-flat2.svg)](https://awesome.re)

A curated list of awesome statistics resources

## Contents

- [Books](#books)

  - [Statistics Starter Books](#starter-books)

  - [Statistics Advanced Books](#advanced-books)

  - [Probability Books](#probability-books)

  - [R books](#r-books)

  - [Python books for statistics](#python-books-for-statistics)

- [YouTube Series](#youtube-series)

- [Blogs](#blogs)

- [Online Courses](#online-courses)

## Books

### Starter Books

- [Statistics Essentials for Dummies](https://www.wiley.com/en-ai/Statistics+Essentials+For+Dummies-p-9781119590231) - by **Deborah J. Rumsey**  

- [Naked Statistics: Stripping the Dread from the Data](https://www.amazon.com/Naked-Statistics-Stripping-Dread-Data-ebook/dp/B007Q6XLF2) - by **Charles Wheelan**

- [Think Stats](https://www.greenteapress.com/thinkstats/) - by **Allen B. Downey**

- [Introduction to statistical thought](https://people.math.umass.edu/~lavine/Book/book.pdf) - by **Michael Lavine** - *free*

### Advanced Books

- [Forecasting: Methods and Applications](https://www.amazon.com/dp/0471532339)

- [Applying Contemporary Statistical Techniques](https://www.amazon.com/dp/0127515410)

- [Multiple Regression And Beyond](https://www.amazon.com/dp/0205326447)

- [The Signal and the Noise](https://www.amazon.com/Signal-Noise-Many-Predictions-Fail-but/dp/0143125087) - by **Nate Silver**

- [How to Lie with Statistics](https://www.amazon.com/How-Lie-Statistics-Darrell-Huff/dp/0393310728) - by **Darrell Huff**

### Probability Books

- [Introduction to Probability](https://www.vfu.bg/en/e-Learning/Math--Bertsekas_Tsitsiklis_Introduction_to_probability.pdf) - by **Dimitri P. Bertsekas** and **John N. Tsitsiklis** - *free*

- [Basic Probability Theory](https://faculty.math.illinois.edu/~r-ash/BPT/BPT.pdf) - by **Robert B. Ash** - *free*

- [Probability Cheatsheet](http://www.wzchen.com/probability-cheatsheet/) - *free*

- [An Introduction to Probability and Random Processes](https://ellerman.org/Davids-Stuff/Maths/Rota-Baclawski-Prob-Theory-79.pdf) - by **Gian-Carlo Rota** and **Kenneth Baclawski** - *free*

- [Probabilistic Programming & Bayesian Methods for Hackers](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/) - by **Cameron Davidson-Pilon** - *free*

### R Books

- [The art of R programming](https://heather.cs.ucdavis.edu/~matloff/132/NSPpart.pdf)

### Python books for statistics

- [Think Bayes ,2e](http://allendowney.github.io/ThinkBayes2/) - by **Allen B. Downey** - *free*

- [An Introduction to Statistics with Python](https://www.springer.com/gp/book/9783319283159) - by **Thomas Haslwanter**

## YouTube Series

- [CrashCourse Statistics](https://www.youtube.com/playlist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr)

- [Statistics - A Full University Course on Data Science Basics](https://www.youtube.com/watch?v=xxpc-HPKN28) - by **Monika Wahi**

## Blogs

- [Statistics subreddit](https://www.reddit.com/r/statistics/)

- [Statistical Modeling, Causal Inference, and Social Science](https://statmodeling.stat.columbia.edu/) - **Andrew Gelman**'s blog

- [Error Statistics Philosophy](https://errorstatistics.com/) - **Deborah Mayo**'s blog

- [Hyndsight](https://robjhyndman.com/hyndsight/) - **Rob J. Hyndman**'s blog

- [Simply Statistics](https://simplystatistics.org/) - **Rafa Irizarry**, **Roger Peng**, and **Jeff Leek**'s blog

- [R-statistics blog](https://www.r-statistics.com/)

- [Statistics by Jim](https://statisticsbyjim.com/)

## Online Courses

### free courses

- [Statistics and probability](https://www.khanacademy.org/math/statistics-probability) - **Khan academy**

### Paid courses

> paid courses from linkedin (formerly lynda.com)

- [Learning R](https://www.linkedin.com/learning/learning-r-2)

- [Statistics Foundations: 1](https://www.linkedin.com/learning/statistics-foundations-1)

- [Statistics Foundations: 2](https://www.linkedin.com/learning/statistics-foundations-2)

- [Statistics Foundations: 3](https://www.linkedin.com/learning/statistics-foundations-3)

- [Statistics Foundations: Probability](https://www.linkedin.com/learning/statistics-foundations-probability)