MBA 563

Credit: 4 hours.

Students will gain an understanding of the basic methods of business analytics by working with different tools and data sets. The course will emphasize applications over the mathematics of the methods. Students will apply the concepts to case studies to deepen their understanding of regression, logistic regression, feature selection and dimensionality reduction, clustering, decision trees, and recommender systems. Following which more advanced but related tools will be discussed such as SVM, Boosting, neural nets and introduction to text mining.

4 graduate hours. No professional credit. Credit is not given for both MBA 563 and BADM 590, Data Toolkit: Business Data Modeling & Predictive Analytics.