MSBA 5504 HY: Advanced Data Analysis
Students in this course will learn advanced techniques used in data analytics including association rules, clustering and other modern classification techniques. This course builds on the Applied Data Analysis course and covers Regression Analysis, Logistic Regression, Non-linear Regression, Time Series Analysis, Nonparametric Methods, Bayesian Probability Updating, and Decision Analysis. The emphasis is on large complex data sets and web mining. Students will continue learning R in this course. This course is only available for graduate students enrolled in the Barowsky School of Business.