MATH 3150 - Applied Statistics

3 Credit(s) | $3.75 Fee

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 Letter]

Prerequisite(s): ([MATH 1040 or MATH 1190 or MATH 3700] and MATH 1050) or instructor permission - Prerequisite Min. Grade: C