HCA 340 - Healthcare Data Analytics

Three Credits
Both Fall and Spring

Students will learn how to use methods commonly employed in analyzing healthcare data. Class sessions will be a mix of lecture and hands-on coding. Real world data from a variety of sources will be used with the goals of exposing the student to the challenges and pitfalls encountered in healthcare data and developing the techniques to address them. Students will learn about research study design, data cleaning and preparation, descriptive statistics, regression analysis, model building and evaluation, and data visualization.

Coding will be primarily in SAS, with an introduction to R. Excel and other tools to be used for visualizations.

 

Prerequisite(s)/Restriction(s): Course that satisfies College’s Statistical Reasoning requirement