Python Statistics Essential Training (2018)

With this course, gain insight into key statistical concepts and build practical analytics skills using Python and powerful third-party libraries. Instructor Michele Vallisneri covers several major skills: cleaning, visualizing, and describing data, statistical inference, and statistical modeling. All concepts are introduced by analyzing intriguing real-world datasets and discussed from a machine-learning perspective—which assumes that powerful computation can replace complex mathematics.

Learning objectives
Installing and setting up Python
Importing and cleaning data
Visualizing data
Describing distributions and categorical variables
Using basic statistical inference and modeling techniques
Bayesian inference