DATA 240 - Data Mining Techniques and Applications for Data Intelligence

3 unit(s)
Learn concepts, tools, and algorithms for data mining, statistical modeling, implementation techniques, and applications of data mining with a focus on data mining functions: pattern discovery, cluster analysis, exploratory data analysis, and anomaly detection with real-world examples.

Prerequisite(s): DATA 225 (with a C or better grade) or DATA 226 (with a C or better grade) or graduate advisor consent.
Grading: Letter Graded

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