Detailed Course Information |
Fall Sem 2017
04-May-2024 |
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| STAT 576 - Multivriate & Data Mining Tech |
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Multivariate normal distribution, data visualization, handling missing data, dimension reduction techniques, supervised learning, clustering, outlier detection, including a team-based project and common data mining software. Cross-listed (See Business Analytics 552.) (RE) Prerequisite(s): 574 and Business Analytics 540. Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor. 3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture Business Analytics/Statistics Department Mutual Exclusion: This course carries a mutual exclusion with the following courses; you may not enroll in it if you have completed any of the following with a passing grade: BZAN 552 |
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