Business Analytics II: AI
2:20pm–5:35pm
GEFFEN HALL GEF 620
Seat data provenance: Directory as of August 24, 2026 at 4:00 AM
Lecture · In-Person · Standard
Open to Business, Journalism
Description
This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.
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Flat map — motion reduced