MAT 378 - Data Mining and Predictive Analytics

Data visualization and analytic techniques are applied in investigating relationships among attributes of interest, enhancing interpretability of complex decision making models. Widely used statistical packages for data mining and predictive analytics are utilized in the context of applications from diverse areas such as marketing, finance, operations, and the physical sciences.

Prerequisite: (MAT 208 or 210) and (MAT 258 or 318)
When Offered: Fall
Credit: 3