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Nov 21, 2024
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2020-2021 Academic Catalog [Archived Catalog]
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DSCI 512 - Predictive Modeling
Credits: Three (3)
This course introduces students to fundamental statistical learning techniques that can be applied to real-world business problems. Topics include generalized linear models, tree-based models, clustering methods, and principal components analysis. It trains students to understand key steps and considerations in building predictive models, selecting a best model, and effectively communicating the model results. Project based learning is used to help students develop effective problem solving skills and effective collaboration skills.
Note: This course is for graduate students only.
Cross-listed: DSCI-412
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