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BSAN 6200 Programming and Data Wrangling 3.0 Credits

This course delivers the advanced programming and data wrangling skills essential for tackling real-world analytics challenges. Students will move beyond fundamentals to focus on code optimization and performance, utilizing version control (Git/GitHub) for collaborative projects. The curriculum emphasizes a rigorous ETL (Extract, Transform, Load) workflow, covering complex data cleaning, validation, and advanced imputation methods. Students will master feature engineering pipelines, data quality assessment, and techniques for managing large datasets and memory constraints. The course also covers integrating diverse data sources, including web scraping, consuming APIs (JSON/XML), and connecting to databases with SQL, providing a foundation for scalable, reproducible data-driven analysis.

College/Department: Bennett S. LeBow Coll. of Bus./Decision Sciences
Repeat Status: Not repeatable for credit