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Oct 14, 2025
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2025-2026 Graduate and Professional Studies Hill Book
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DAT 609 - Python for Data Analysts3 Credits
Offered Spring
A hands-on data analytics course for structured data using the Python programming language. Covers the skills that are required to explore and prepare data prior to analysis, create several types of predictive models and perform data clustering. It also covers skills that are required for model assessment and implementation. Models covered include decision trees, regressions, neural networks, K-means, market basket analysis, and others. Upon completion, students will have a set of practical data analytics skills and know how to apply these skills in a variety of business environments and with many types of structured data.
Prerequisites/Restrictions: Completion of a bachelor’s degree.
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