TTh 11:30am–12:45pm
Every section meets at this time.
2 of 2 sections have room
Prerequisites Prerequisites: A solid background in probability and statistics is strongly encouraged. An optimization background is also strongly encouraged and may be obtained concurrently. Prior coding experience is encouraged.
Description
This course focuses on how to identify, evaluate, and capture business analytic opportunities that create value. The course covers basic analytic methods alongside case studies on organizations that successfully deployed these techniques. The first part of the course is on using data to develop insights and predictive capabilities with machine learning techniques. The second part focuses on the use of A/B testing, causal inference, ethics, and optimization to support decision-making
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Sections2
- 5 of 60 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- 98 of 99 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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