# Statistics

TODO

## Articles

* [The Ten Best Ideas in Statistics](https://www.naftaliharris.com/blog/ten-stat-ideas/)
* [What are the most important statistical ideas of the past 50 years?](https://statmodeling.stat.columbia.edu/2020/12/09/what-are-the-most-important-statistical-ideas-of-the-past-50-years/)
* [Logistic Regression from scratch](https://philippmuens.com/logistic-regression-from-scratch)
* [A Primer on Private Statistics – Part I](https://kamathematics.wordpress.com/2020/04/14/a-primer-on-private-statistics-part-i/)
* [Top 10 Ideas in Statistics That Have Powered the AI Revolution](https://news.columbia.edu/news/top-10-ideas-statistics-ai)
* [Bayes’ Theorem Intuition](https://blog.demofox.org/2019/10/25/bayes-theorem-intuition/)

## Books

* [Statistics Done Wrong (Alex Reinhart)](https://www.statisticsdonewrong.com/)
* [Introduction to Modern Statistics (Mine Çetinkaya-Rundel and Johanna Hardin)](https://openintro-ims.netlify.app/)

## Courses / Videos

* [Introduction to Statistics](https://www.coursera.org/learn/stanford-statistics)
* [Statistics with Python](https://www.coursera.org/specializations/statistics-with-python)
* [Statistics with R](https://www.coursera.org/specializations/statistics)
* [Statistical mechanics of deep learning - Surya Ganguli](https://youtu.be/-QF_jX8L0nw)
* [At the Interface of Algebra and Statistics](https://youtu.be/wiadG3ywJIs)

## Links

* [Национальный статистический комитет Республики Беларусь](https://www.belstat.gov.by/)
* [Statistical Thinking for the 21st Century](https://statsthinking21.org/)
* [Learning Statistics with R](https://learningstatisticswithr.com/)
* [Understanding Statistical Power and Significance Testing (an interactive visualization)](https://rpsychologist.com/d3/nhst/)
* [ThinkStats2](https://github.com/AllenDowney/ThinkStats2)
* [Awesome Bayesian Statistics](https://github.com/aayushmalik/awesome-bayesian-statistics)