Introduction to Bayesian Statistics – Free Udemy Courses
Bayes’ Theorem and Bayesian statistics from scratch – a beginner’s guide.
What you’ll learn
Introduction to Bayesian Statistics – Free Udemy Courses
- Bayes’ Theorem
- Bayesian statistics
- Conditional probability
- An understanding of subjective approaches to probability
- Using Venn and Tree diagrams to model probability problems
Requirements
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An understanding of probability basics.
Description
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.
Who this course is for:
- People who want to understand Bayes’ Theorem intuitively and deeply.
- People are interested in probability.
- Data scientists looking to develop their understanding of probability theory.
- Students are interested in deepening their understanding of probability.
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