PDAT 613G - Data Mining

An exploration of techniques used to find patterns in very large data sets, with an emphasis on the statistical structure of the approaches and practical uses of key tools. Recommended: Completion or concurrent enrollment in PDAT 611G - Big Data Management.

Credit(s): 3

Disciplinary Perspective(s):
None
Interconnecting Perspective(s):
None
University Graduation Requirement(s):
None

Prerequisite(s): PDAT 610G - Introduction to Data Science OR [(STAT 220 - Fundamentals of Data Science or DATA 222 - Data Science) and (STAT 250 - Statistical Computing or DATA 322 - Intermediate Data Science)], or concurrent enrollment.
Registration Restriction(s): Graduate Students Only.