STA 330 - Applied Data Science

4 credits (Spring)

Cross-listed as: MAT 330. Project-based course in which students work in small teams to complete the full spectrum of the data science process, including developing a problem statement, data collection and processing, data analysis using an appropriate programming environment, and drawing conclusions supported by the data.

Prerequisite: CSC 207 and STA 230, MAT 306, or STA 310.
Instructor: R. Miller