Transform uncertainty into strategic advantage through proven decision science. This Short Course was created to help data analysis professionals accomplish systematic, evidence-based decision-making in complex business environments.
By completing this course, you'll master expected utility calculations, risk assessment techniques, and framework selection strategies that drive superior strategic outcomes.
By the end of this course, you will be able to apply expected utility theory to multi-scenario cases, evaluate risk preferences through utility curves, structure ambiguous problems using OODA or Cynefin frameworks, and select optimal decision approaches based on contextual criteria.
This course is unique because it bridges theoretical decision science with practical business application, providing hands-on tools for immediate workplace impact. To be successful in this course, you should have a background in basic statistical analysis and spreadsheet proficiency.
Overview
Syllabus
- Module 1: Expected Utility Theory in Business Decision-Making
- Apply expected utility calculations to multi-scenario business cases and recommend optimal strategic choices.
- Module 2: Risk Assessment Through Utility Curves
- Evaluate organizational risk preferences by plotting utility curves and interpreting their strategic implications.
- Module 3: Strategic Framework Application and Selection
- Apply OODA or Cynefin frameworks to structure unstructured problems and evaluate framework suitability for different contexts.
- Module 4: Comparative Framework Evaluation and Strategic Alignment
- Evaluate alternative decision frameworks for suitability using contextual criteria and strategic alignment principles.
Taught by
Hurix Digital