Data-driven optimization isn’t just theory—it’s a competitive advantage. This short course equips data analysts with practical optimization techniques that deliver measurable business impact.

Learners will build routing models to reduce logistics costs, implement elasticity-driven dynamic pricing strategies, and evaluate solution robustness under demand uncertainty. The course blends hands-on Gurobi optimization with Excel-based simulations to ensure skills translate directly into real-world ROI. By the end of this course, you will be able to: Apply mixed-integer programming to minimize logistics costs under delivery constraints Build price-elasticity models that simulate dynamic pricing scenarios Evaluate optimization sensitivity to demand forecasting errors Validate pricing compliance with business guardrails This course is unique because it combines hands-on Gurobi modeling with real Excel-based simulations, delivering immediately applicable skills that translate into measurable ROI. To be successful in this project, you should have a background in basic statistics, Excel proficiency, and familiarity with business analytics concepts.