Inferential Statistics

A problem-solving course in inferential statistics for data science. It builds from descriptive statistics and data types, through probability and distributions, to estimation and the full machinery of hypothesis testing: z and t tests, tests of proportion, ANOVA, and chi-square. Every concept is explained in depth, worked through with numerical examples, and implemented in Python.