Data Mining is the process by which useful information is extracted from large amounts of data. This course provides students with the necessary tools and techniques to perform data mining and business analytics. This course is intended as an introductory module targeted at individuals who plan to work with data (modeling, data management) as well as towards those who will work with data scientists. While the course will primarily focus on modeling and evaluation, it will also include data preparation and examination. Modeling techniques covered include dimension reduction, regression methods, decision trees, clustering, and other ad-hoc methods. Emphasis will be placed on the entire context surrounding data mining, which includes the business problem, data processing, modeling, evaluation, and deployment. Students will be expected to implement these techniques in big-data case studies throughout the semester.
Prerequisite: CIS 2300 or MTH 3300 or STA 3000