This course covers topics such as the key concepts of statistical learning and regression modelling with applications; linear models; time series models; principal components analysis; decision trees; and cluster analysis with their applications in R. Three lecture hours per week plus a one hour lab per week. 05-01-2022-04-04-2022 Lecture Monday, Wednesday, Friday 08:30AM - 09:20AM, Cass Science Hall, Room 101