Lecture, two hours. Requisites: Biostatistics 100A, Public Health 200A. Introduction to use of Python programming language for epidemiologic analyses of big data. Topics covered include supervised and unsupervised learning methods, feature engineering, and model evaluation approaches using both quantitative and text-based health data. S/U or letter grading.