Graduate Capstone in Data Science

4 credits

Following the life cycle of a data science project, students apply advanced data science knowledge and techniques to a specific domain. Cleaning and structuring data for hypothesis generation and data analysis; creating a scalable big data pipeline from data ingestion and exploration, to modeling and evaluation; building machine learning models and evaluating insights; communicating finding through visualizations and reports; fully considering ethical implications throughout. Prerequisites: DSC 208R, DSC 255R, and DSC 256R. Restricted to major codes DS78 and DS79.