HS 341F — Applied Data Analytics and Data Mining

This is an intermediate course in data science with a focus on the healthcare industry. It is a methodological 2-credit module course that introduces the concepts, techniques, and applications of data analytics using R. The course is the second module in a four-module series of courses that are offered sequentially during the academic year with the first two introductory and intermediate modules in the fall and the next two analytics courses in the spring. This intermediate course is offered as a Module 2 in the fall. There is one introductory module prerequisite for this course that could be waived for qualified students with enough basic data management and data visualization skills. Usually offered every year.
Moaven Razavi