DS 203 - Introduction to Data Science

Importing, cleaning, and merging datasets from a variety of sources; explanatory data analysis; data visualization; descriptive data analysis; predictive data analysis; communication of results. Most of these steps are performed using open source software such as R and open source database systems such as PostgreSQL.

Credits: 4

Prerequisites/Restrictions: One course from: ST-120, ST-140, ST-220, ST-251, ST-252, EC-205, PO-200, PS-213

Core: Quantitative Reasoning