Operations & Info Management 454 - Data Mining in Business

This course covers topics in managerial data mining, texting mining, and web mining, and related data retrieval and manipulation. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially focused course, students will learn when and how to use such techniques and how to interpret output. Students will also be introduced to languages such as R and Python to extract and manipulate data. Experiential exercises with data mining, text mining, and statistical analysis will be assigned using leading industry applications.

Open to students with majors in the Isenberg School of Management. OIM 350 and 240/STAT & RES-EC OIM majors and non-OIM Isenberg majors should monitor the course via Spire for seat availability. Students who add themselves to the Spire waitlist should ensure they do not enroll in a course that conflicts with this course or are enrolled in a max number of credits. Please note that for all OIM courses, the Department utilizes the Spire waitlist. The Registrar will stop promoting students on the Spire waitlist about one week prior to the beginning of classes. Once the Spire waitlist is no longer functional, you will need to monitor the class and self-enroll if a seat becomes available.