Nov 17, 2025  
2025-2026 Graduate Catalog 
    
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2025-2026 Graduate Catalog
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MATH 8830 - Statistical Programming

3 Credits (3 Contact Hours)
This course provides a practical introduction to statistical programming with a focus on common statistical languages (e.g., R, python, SAS), equipping students with essential computational tools for data science. It covers both basic and advanced programming techniques necessary for the development and implementation of modern computational methods. Students engage with real data examples to tackle programming challenges across various stages of statistical analysis, from data collection, aggregation, and cleaning to visualization, exploratory analysis, model building, and evaluation. Emphasis is placed on modern programming practices, including source control, collaborative coding, reproducible workflows, and distributed/multicore computing.


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