Data Mining for Business Analytics

Data Mining is the process by which useful information is extracted from large amounts of data. This course is designed to provide students with the necessary tools and techniques to perform data mining and business analytics. The topics will include essentials of data management, data preparation and examination, data clustering or segmentation techniques, and model development using binary trees, regression methods, neural networks and other ad-hoc methods. In addition to model development, students will learn about model assessment and validation, as well as predictive analytics using those models. Emphasis will be placed on careful presentation of quantitative aspects of data mining and business analytics, as well as on applications to large data. Students will be expected to implement these techniques on big-data case studies throughout the semester.Prerequisites: CIS 9000 or CIS 9001 and STA 9708.

Fall, Spring, Summer

025697