ISOM-837 Data Mining and Business Insights
This course is built upon the predictive modeling course and covers a broad collect of data mining and business analytics techniques, including estimation, classification, clustering analysis, network analysis, association rule mining, text mining, etc. It focuses on turning data into business insights and eventually use data and analytics to create business value. The course takes a holistic approach of business analytics, starting from identifying and defining business questions, evaluating data quality, cleaning and preparing data to selecting models, interpreting outcomes, and communicating analysis and results to technical and management audiences. Students also are reinforced in their familiarity of data ethics framework, communicating analytics results, and the implementation of analytics in business. Throughout the course, students are involved in hands-on analysis using large sets of real data from a variety of industries. Students are expected to complete a alaytics consulting project with an industry client and a formal presentation of the project.