Introduction to Bayesian Networks

This self-paced Introduction to Bayesian Network course provides a comprehensive introduction to the theory and practical applications of this powerful tool.

Whether you're a complete beginner or have some existing statistical knowledge, this course will equip you with the skills to model and reason about uncertain systems. While a basic understanding of statistics is helpful, it's not required. The course is designed to be accessible to learners with varying levels of prior knowledge.

Starting with an introduction to probability theory, including probability distributions, conditional probability, and independence. You'll then learn how to construct Bayesian networks, representing complex relationships using nodes, edges, and Conditional Probability Tables (CPTs). 

By the end of this course, you'll have the skills and knowledge necessary to effectively utilise Bayesian networks for modelling and reasoning about uncertainty in systems.

Assessment

There are online test throughout the course.