Foundations of Health Data Science Using Python

3 Credits

This course introduces students to the mathematical and computing principles that underlie health data science. Topics include Python programming fundamentals, exploratory data analysis, introductory probability theory, and stochastic simulation. Students will use Python to conduct exploratory analyses of real health-related datasets, to do computing pertaining to theoretical probability distributions, and to simulate data from probability models that arise frequently in health data science. Knowledge of differential and integral calculus would be helpful but is not required. Prerequisites: CSE 012