Advanced Methods in Data Science

5 credits

Introduces modern methods in applied data science. Emphasizes practical applications and analysis of real-world data through a survey of common techniques in supervised and unsupervised machine learning, and methods for experimental design and causal inference. Students learn functional, procedural, and statistical programming techniques for working with data. Prerequisite: INFO 370.