Business Analytics II (Full Term)
9:00am–12:00pm
GEFFEN HALL GEF 120
Seat data provenance: Directory as of August 24, 2026 at 4:00 AM
Lecture · In-Person · Standard
Open to Architecture, Schools of the Arts, Business, Columbia College, Dental Medicine:Post-Grad, Dental Medicine , Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies, SIPA, Journalism, Medicine, Nursing, Public Health, Professional Studies, Social Work
Students who have completed E4650 should not be permitted to
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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In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Standard
- Format
- LECTURE · In-Person
- Credits
- 3 credits
Reported workload
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