Module 6: Lesson 3¶

Introduction to Probability with Python¶

This lesson calculates probabilities and applies Bayes theorem in Python.

Objectives¶

By the end of this lesson, you will be be able to

compute the probability of an event in Python,
use random sampling in Python,
compute joint probabilities in Python,
compute conditional probabilities in Python, and
apply Bayes theorem in Python.

Time Estimate¶

Approximately 2 hours.

Activities¶

Reading: Explore basic probability concepts by using this visual website from seeing-theory.

Reading: Explore conditional probability concepts by using this visual website from seeing-theory.

Video: Watch the calculating probabilities in Python video, which will demonstrate how to compute probabilities and apply Bayes theorem in Python.

Notebook: Read and complete the student exercises in the Introduction to Probability notebook.

This notebook is released under the Creative Commons license CC BY-NC-SA 4.0. Any reproduction, adaptation, distribution, dissemination or making available of this notebook for commercial use is not allowed unless authorized in writing by the copyright holder.