HS 338F — Introduction to Data Analytics and Visualization

This is an introductory course into the world of 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. The course is the first in a four-module series that are offered in sequence during the academic year with the first two modules in the fall and the next two in the spring. The other three modules following this introductory module are Applied Data Analytics and Data Mining Using R, Healthcare Data Analytics and Data Mining, and Advanced Topics in Healthcare Data Analytics and Data Mining. By the end of the series, students are able to use multiple Machine Learning ML techniques to run elaborate predictive analytics models on a set of linkable large databases and code-sets, some with half-million rows and hundreds of variables. Usually offered every year.
Moaven Razavi