DSIM 606 Data Mining and Predictive Analytics
This course deals with developing data mining models for big data sets to gain insights and make strategic business decision. This course will cover knowledge and skills about advanced business analytics and quantitative tools via applied research application using data mining and predictive modeling approaches. Students will be exposed to developing real applied predictive models using analytical software such as classification tree, regression and logistic regression. Model performance evaluation and implementation strategies will be covered. Both supervised learning and unsupervised learning models will be discussed. Students will present their work in a numerous formats to a variety of audiences.