DATA 644 - Bayesian Reasoning in Data Science

(3) Fanelli

No data scientist can work without a solid grasp of conditional probability and Bayesian reasoning. Bayes’ theorem allows us to update our beliefs based on the occurrence of new events, steering the inference towards the truth and assessing uncertainty in predictions. This course offers an in-depth examination of Bayesian reasoning in data science, allowing you to grasp the fundamental components of this approach through practical examples spanning various domains. Throughout the course, you will acquire hands-on experience with concrete computational implementations, enabling students to bridge the gap between theoretical concepts and their programming applications, thereby solidifying their understanding of the material.