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 CPT 230.

Distribution

Mathematics