MHS 2145
Data Analytics for Health & Policy
Foundations of data analytics for health and policy; public health and social datasets. R programming for data wrangling, visualization, and reporting. Statistical testing and regression modeling. Interpretation and communication of analytical findings. Hands-on work with health and policy-related datasets. Emphasis on practical skills for health and policy data analysis. Serves as repeat credit for MHS 3890-04 offered in Spring 2026 and MHS 3890-03 offered in Fall 2025. [3] (CORE D) (LE: SBS)
Sources
- Course catalogue ↗2026–2027