BAN 204 - Data Science and Business Analytics Foundations Semester Hours: 3
Once a Year
The course surveys the common business analytics techniques used to access, clean, analyze, and visualize data. The emphasis is on the intuition behind the algorithms and hands-on learning with real-world datasets. Topics include foundations of programming with Python or R, data access and preprocessing, classification, clustering, visualization, and overview of advanced analytics topics such as text analytics, social media analytics, and Big Data technologies.
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Fall 2025
January 2026
Spring 2026
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