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3255. Introduction to Data Science

3.00 credits

Prerequisites: MATH 1132Q, STAT 2255 or COGS 2500Q or ECON 3322, STAT 3115Q or 3215Q, or instructor consent

Grading Basis: Graded

Introduction to data science for effectively storing, processing, analyzing and making inferences from data. Topics include project management, data preparation, data visualization, statistical models, machine learning, distributed computing, and ethics.

Last Refreshed: 27-FEB-24 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
Spring 2024 Storrs In Person Yan, Jun
Mcclurg-Wong, Taelor
001 Reg MoWe 2:30pm‑3:45pm
AUST 313 19/35
Fall 2024 Storrs In Person Yan, Jun 001 Reg MoWe 1:25pm‑2:40pm
AUST 103 0/30