Covers practical skills in working with data and introduces a wide range of techniques commonly used in data analysis, such as clustering, classification, regression, and network analysis. Emphasizes hands-on application of methods via programming.

Level

grad

Department

CAS

Credits

4

Prerequisites

CS 108/111; CS 132 or MA 242/442