Data Mining with R

Catalog description

Institutions today face both the challenge and the opportunity of big data. This course is designed for business students to build knowledge of data mining using R. Upon the completion of this course, students will be able to apply multiple data mining techniques, such as linear models, Discriminant Analysis, Support Vector Machines, k-Nearest Neighbors, Regression Trees, and Neural Nets, to make predictions and classification.