DATS0001 - Foundations of Data Science

This course covers foundational data science concepts and techniques. Topics include exploratory data analysis, visualization, latent variable models, state-space models, Markov chain Monte Carlo, expectation-maximization, variational inference, and model criticism.

The course material is available on the GitHub repo of the course.