Decision theory course
Master decision theory for management. Build payoff matrices, model uncertainty and risk, use market data for probabilities, compute EMV and sensitivity analyses, and deliver concise, data-backed strategic recommendations balancing upside potential with downside protection.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This practical Decision Theory Course teaches building payoff matrices, modeling costs, prices, capacity, computing EMV, expected utility, non-probabilistic criteria, using macro and market data for probabilities, sensitivity and break-even analyses, and creating actionable recommendations from risk trade-offs with caveats and data-driven steps.
Elevify advantages
Develop skills
- Decision modeling: build payoff matrices and compare strategies under uncertainty.
- Risk analysis: compute EMV, utility, and sensitivity to guide safer decisions.
- Market-based probabilities: turn macro and industry data into demand scenarios.
- Profit modeling: link price, cost, capacity, and demand to forecast outcomes.
- Executive recommendations: craft concise, data-backed choices with clear caveats.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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