Chapter 6: Statistics in Python

We will look at how to perform statistical analysis such as ANOVA or Chi-squared test using mainly scipy.stats module and pingouin package.


2Packages for statistical analysis

3Working with distributions

4Distributions practice

5Significance testing: t-tests

6Significance testing: ANOVA

7Significance testing: pairwise t-tests

8Significance testing: Chi-squared test

9Confidence intervals for the mean and bootstrapping

10Outliers in the data

About this course

This free and interactive course is designed to guide you through the basics of Python programming. The course covers most of the topics to get you started, including the basics of programming, working with packages like NumPy or Pandas for data manipulation, making human-readable plots, and working with data in different formats.

About me

My name is Ruslan Klymentiev and my primary area of specialization is Data Science. I feel passionate about computational modeling, post-rock, and hiking.