CIS 6203 - Modeling

Credits: 3

This course covers the basics of data modeling. Students will become familiar with methods for statistical inference, regression analysis, and supervised and unsupervised data mining. Specific data mining methods include: k-nearest neighbors and naive Bayes, decision trees, and clustering. The concepts will be applied and practiced in case studies selected from a wide range of industries. Students will learn basic modeling techniques and best practices using industry standard tools.