MATH 2140 - Applied Statistics

3 Credit(s)

Introduction to data analytic and applied statistical methods commonly used in industrial and scientific applications as well as in data science. Emphasis will be on the practical aspects of statistics with students analyzing real data sets. Topics covered include analytic and graphical representation of data, exploratory data analysis, regression analysis, principal component analysis, and classification methods. Students will use R throughout the course. (Fall) [Graded (Standard Letter)]

Prerequisite(s): MATH 1040 and (ECON 2500 or MATH 1100 or MATH 1210) - Prerequisite Min. Grade: C
Registration Restriction(s): None