Data Science 2: Statistical Methods for Observational Studies

Catalog description

GR This second course in data science Data Science 2: Statistical Methods for Observational Studies focuses on statistical approaches in data science, especially those relating to observational studies. This course can also be chosen independently for those students that wish to learn about observational studies in general. Students will learn about the distinction of causal analysis vs. association studies and the consequences for appropriately choosing statistical methods for data analysis. Sources of bias in observational studies and statistical methods to tackle these are discussed. This 1 credit course is taught with hands-on exercises and the student is expected to be comfortable with algorithmic approaches and computer programming.