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 OIM majors and 20 seats are reserved for non-OIM Isenberg majors.

OIM majors and Isenberg majors should monitor the course via SPIRE for seat availability. If you add yourself to the SPIRE wait list, please ensure you do not enroll in a course that conflicts with this course.

Non-Isenberg IT minors should use this link to submit a request: https://goo.gl/forms/83aqSqppC6KJ68Hz2

BDIC students should use this link to submit a request: https://docs.google.com/forms/d/1I03HC2tD2nMFLBDEyDSrb8-FBXJJjPqY6n4X4CZjRko/edit