Learning Materials for Python for Introductory Statistics

Welcome to our tutorials page! We have divided our materials into five different parts: Getting started, basics of Python, univariate EDA, multivariate EDA and statistical inference. Each one of these lessons includes one or more videos, and one zip file which contains a Jupyter notebook handout, a Jupyter notebook solution for the handout, a Jupyter notebook containing extra material, and csv files for data sets.

Getting Started with Python

A quick guide on how to get started with Python by using Anaconda.

Lesson 1: Basics of Python

Learn the core concepts of Python and get access to help documentation.

Lesson 2: Univariate EDA

Perform graphical and non-graphical exploratory data analysis with one variable.

Lesson 3: Multivariate EDA

Perform graphical and non-graphical bivariate and multivariate exploratory data analysis.

Lesson 4: Statistical Inference

Use Python for statistical inference