Courses/Analytical Reasoning/Bayesian Decision Analysis for Strategic Leaders
Expert7 lessons • 8h 0m

Bayesian Decision Analysis for Strategic Leaders

Apply probabilistic reasoning to high-stakes business decisions under uncertainty. Master prior elicitation, likelihood modeling, and posterior inference.

This graduate-level course transforms your decision-making from intuitive to rigorous. You'll learn to quantify uncertainty, update beliefs with evidence, and make optimal decisions when the stakes are highest. Unlike introductory statistics, this course focuses on the philosophy and practice of subjective probability—the kind executives use when no frequentist data exists. You'll master conjugate priors, hierarchical models, and multi-stage decision trees with explicit utility functions. By the end, you'll be able to construct a full Bayesian decision model for any strategic question, from M&A valuation to product launch timing.
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Skills you'll master:
Prior ElicitationMonte Carlo SimulationDecision TreesValue of Information Analysis
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⚠️ Prerequisites

Syllabus

0 of 7 lessons complete
1
The Philosophy of Subjective Probability
📖Reading•45m
2
Conjugate Priors and Analytical Posteriors
💻Interactive Lab•60m
3
Value of Information Analysis
📊Case Study•90m
4
Monte Carlo Simulation for Risk Analysis
💻Interactive Lab•75m
5
Multi-Criteria Decision Analysis Under Deep Uncertainty
📊Case Study•90m
6
Behavioral Traps in Probabilistic Judgment
🎮Simulation•60m
7
Final Assessment: Executive Decision Brief
👥Peer Review•120m