Python Coding for Epidemiology

2 Credits

Introduces Python programming with a focus on statistics and machine learning (ML) applications in public health and epidemiology. Covers Python language basics, including operations, data types, and functions. Students learn how to implement statistical methods (e.g., linear regression and mixed models) and ML approaches (e.g., dimension reduction and random forest) using Python and Python-based packages (i.e., Numpy, Scipy, and Scikit-learn) and their application in epidemiology.