STAT 525 - Modern Methods of Data Analysis

(3 credits)

An introduction to the use of the computer as a powerful tool in data analysis. Topics will include statistical graphics, supervised learning methods for regression and classification problems, and unsupervised learning methods for clustering and dimension reduction. May also be taken for undergraduate credit as STAT 425. See Undergraduate Catalog. Prerequisite: STAT 360 or permission of instructor. Grade or P/NC. Offered spring semester alternate years.

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