Prerequisites: STAT 160A, STAT 160B, STAT 209A; or consent of instructor
Description: Introduces principle data-mining methodologies, major software tools, and typical applications for structuring, understanding, and using large datasets effectively and efficiently. Statistics graduate students who have not completed all courses required for the degree receive a letter grade; other students receive a letter grade or petition for a
Credit: Satisfactory (S) or No Credit (NC) grade.