This course prepares students to analyze large health care databases with a focus on advanced applications with health insurance claims data. The course is designed to be a STEM offering with the use of statistical programming languages including R, Tableau, and SAS. This course is designed to appeal to students with an interest in developing data science as a core skill and already have knowledge of some programming tools, and experience with data manipulation in Excel, SQL, or Access. The course utilizes a novel synthetic health insurance claims database representing 300 million covered lives of the major private and publicly insured insured populations in the United States. Major topics include market sizing, actuarial projection, quality of care metrics, and national health account calculation.
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Spring 2024 provided by the Office of Institutional Data and Research
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