<p>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.</p>

Epidemiology

The school aims to build health and equity, and to drive positive change for all people. The school acts on this mission through initiatives in three core areas: education, discovery, and service.

Jonathan and Karin Fielding School of Public Health

Epidemiology is the study of the distribution and determinants of disease in human populations.

General Catalog

Introduction to Python for Epidemiologists

EPIDEM 410

2 units