MATH 316 - Statistical Learning with Applications

4 Hour(s) Credit
An introduction to statistical methods and models for data analysis with applications. Methods and models, such as regression models, time series models, principal components analysis, decision trees, cluster analysis, basic ANOVA and/or others, are studied. Computer software such as R, Excel, Python or others is used. Does not fulfill the math requirement for education majors.
Four hours per week
Prerequisites C or better in MATH 155 or MATH 216