MATH 475 Models and Simulation for Data Science

This course develops advanced statistical topics relevant to data science. Topics include multiple linear, general linear, and logistic regression; transforming data; Monte Carlo simulation of stochastic systems; re-sampling based inference(bootstrap, etc.); likelihood theory and Bayesian methods; model selection and performance.