Oct 23, 2026  
2026-2027 Catalog 
    
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2026-2027 Catalog

STAT 427 - Data Science I (CSCI 427) (3)

This course covers core topics in supervised and unsupervised learning. Topics include selecting appropriate models for prediction and classification, implementing rigorous model validation methods, applying optimization criteria, using various regression techniques for predictive analysis, and exploring key unsupervised learning techniques, such as Principal Component Analysis. The course utilizes common statistical software packages such as SAS, R, or similar packages to provide practical, hands-on experience. Prerequisites include one of the following: 1) STAT 185 or 225, and CSCI 182, 183, or 185, and MATH 291 and 365, 2) MATH 295, or 3) permission of instructor. Even years Fall.