MATH 215 Data Analysis

Designed to introduce the students to the process of statistical investigation and the use of statistical software. Topics include visualization methods, basic probability, sampling, estimation and hypothesis testing, simple and multiple linear regression models, simple machine learning techniques, and linear time series models.

Credits

4

Prerequisite

MATH 121, MATH 171, or satisfactory departmental placement; recommended prerequisite: CPTR 141 or CPTR 230.

Distribution

Mathematics