Introduction to Bayesian Statistics – Free Udemy Courses

Bayesian statistics is used in many different areas, from machine learning to data analysis, sports betting, and more. It’s even been used by bounty hunters to track down shipwrecks full of gold!

This beginner’s course introduces Bayesian statistics from scratch. It is appropriate both for those just beginning their adventures in Bayesian statistics as well as those with experience who want to understand it more deeply.

We begin by figuring out what probability even means, to distinguish the Bayesian approach from the Frequentist approach.

Next, we look at conditional probability, derive what we call the “Baby Bayes’ Theorem”, and then apply this to several scenarios, including the Venn diagram, tree diagram, and normal distribution questions.

We then derive Bayes’ Theorem itself with the use of two very famous counter-intuitive examples.

We then finish by looking at the puzzle that Thomas Bayes’ posed more than 250 years ago, and see how Bayes’ Theorem, along with a little calculus, can solve it for us.