CT 5325 - Data Mining and Statistical Modeling

This course introduces students to the principles and practice of analytics through statistical modeling and data management. Many business problems still utilize traditional statistical and data mining tools. This course introduces several modeling tools like multiple linear and logistic regression (MLR), Hierarchical linear model (HLM), multiple discrimination analysis, factor analysis, introduction to Bayesian statistics, and cost and objective functions. In addition, it introduces Monte-Carlo simulations and rules of probability distributions. (3 credits)