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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.

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: 16-SEP-19 05.20.32.275623 AM
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Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Fall 2019 Storrs In Person Dougherty, Marshall 001 Reg Tu 5:00pm‑7:30pm
BUSN 204 40/40
Fall 2019 Storrs In Person Lauretti, Steven 002 Reg Th 5:00pm‑7:30pm
BUSN 215 36/40
Spring 2020 Storrs In Person 001 Reg Tu 5:00pm‑7:30pm
BUSN 215 0/40