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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
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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 (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-10-27T08:27:15.000Z (about 3 years ago)
- Last Synced: 2024-12-02T06:02:12.984Z (19 days ago)
- Topics: algorithms, awesome, awesome-list, data-science, machine-learning, statistics
- Homepage:
- Size: 47.9 KB
- Stars: 17
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-statistics - A curated list of awesome statistics resources. (Other Lists / Monkey C Lists)
README
# Awesome Statistics [](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)