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2021-2022 Undergraduate & Graduate Catalog

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STA 323 - Predictive Analytics

An introduction to applications and the conceptual framework for predictive analytics and modeling, using a statistical programming language such as R. Topics include preparing data for predictive modeling, exploratory data analysis and visualizations, multiple linear regression, logistic regression for classification, and methods for model selection and evaluation. Offered winter semester. Prerequisite: STA 215 or STA 312.

Credits: 3



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