BAN485 Data Mining II

This course will build from data mining I. Students will learn to implement a variety of popular data mining algorithms in R to solve business problems and opportunities. Upon successful course completion, students will be able to use both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis

Prerequisites: BAN385

Credit Hours: 
3.00
Catalog Code: 
BAN485