DATA 2000 - Principles of Data Analysis

3 cr. 3 hr. Offered every spring semester.

This course explores the process of using data to answer applied questions. Students develop skills to produce clear, thorough, and appropriate data analyses. Topics include cleaning and exploring data; building and evaluating regression, classification, and clustering models; and communicating results. Students will write short computer programs to do reproducible analyses. PL

Prerequisite(s): MATH 1250 Functions or MATH 1300 Precalculus or MATH 1700 Applied Statistics or MATH 1800 Business Statistics or MATH 2800 Introduction to Statistical Analysis