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3802. Data and Text Mining

3.00 credits

Prerequisites: STAT 1000Q or 1100Q, or equivalent; open only to non-business majors junior or higher, or permission of Dept. Head. No credit if OPIM 5604 was taken to fulfill undergrad degree. Not open to students who have taken or are taking OPIM 3802.

Grading Basis: Graded

Provides an introduction to the concepts of data and text mining and positions students to structure and successfully complete information analytics projects. Various concepts and approaches are analyzed and subsequently implemented using state-of-the-art analytic toolsets. Each student is required to bring a laptop (with Windows or Mac OS) that can connect to the internet and handle required software (see School of Business specifications).


Last Refreshed: 08-DEC-21 05.20.06.507514 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Fall 2021 Storrs In Person Dougherty, Marshall 001 Reg Tu 5:00pm‑7:30pm
BUSN 215 13/12
Fall 2021 Storrs In Person Lauretti, Steven 002 Reg We 5:00pm‑7:30pm
BUSN 215 16/12
Spring 2022 Storrs In Person Dougherty, Marshall 001 Reg Tu 5:00pm‑7:30pm
BUSN 215 12/12
Spring 2022 Storrs In Person Lauretti, Steven 002 Reg We 5:00pm‑7:30pm
BUSN 204 12/12