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3802. Data and Text Mining

3.00 credits

Prerequisites: STAT 1000Q, or STAT 1100Q, or equivalent; open only to business majors of junior or higher status, others with permission of Department Head. Credit will not be given if OPIM 5604 has been taken to fulfill undergraduate degree requirements. Not open for credit to students who have passed or are taking BADM 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 implement 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: 02-DEC-21 05.20.14.180266 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 26/28
Fall 2021 Storrs In Person Lauretti, Steven 002 Reg We 5:00pm‑7:30pm
BUSN 215 18/28
Spring 2022 Storrs In Person Dougherty, Marshall 001 Reg Tu 5:00pm‑7:30pm
BUSN 215 28/28
Spring 2022 Storrs In Person Lauretti, Steven 002 Reg We 5:00pm‑7:30pm
BUSN 204 26/28