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 Isenberg School of Management majors only. OIM 350 and 240/STAT & RES-EC 20 seats are reserved for declared OIM majors. Remaining seats are available to non-OIM Isenberg majors who meet the enrollment requirements. Please contact the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu if you meet the enrollment requirements, seats are available, and you are unable to self-enroll or add yourself to the Spire waitlist (if open as indicated by a yellow triangle). If you add yourself to the Spire waitlist, please ensure you do not enroll in a course that conflicts with this course.

Once the course and the Spire waitlist is full, OIM majors and Isenberg majors should monitor the course via SPIRE for seat availability.