Applied Statistics and Data Science

This course offers an overview of three distinct yet interconnected perspectives: Classical statistics, Bayesian statistics, and data Science/machine learning (DSML). Classical statistics emphasizes rigorous inferences rooted in the frequentist school whereas the Bayesian school offers a probabilistic framework that enables the incorporation of prior knowledge, updating beliefs, and modeling uncertainty. DSML aims to extract insights and patterns from data and building predictive models.

GR - Graduate

N - Course May Not Be Repeated