Mathematical Modeling Course
Gain mastery in mathematical modeling by constructing and validating growth models using real bike-sharing data. Acquire skills in calibration, forecasting, scenario analysis, and sensitivity techniques to transform complex urban data into precise, actionable business decisions and plans.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course equips you with skills to construct and calibrate growth models, pose real-world bike-sharing problems, and convert limited data into dependable forecasts. Learn to estimate parameters, evaluate models, build scenarios, and derive solid resource strategies from projections, while managing uncertainty, verifying outcomes, and enhancing models with external factors for superior data-driven choices.
Elevify advantages
Develop skills
- Build and calibrate growth models fitting exponential, linear, and logistic demand patterns.
- Convert bike-share forecasts into practical fleet, station, and staffing resource plans.
- Create data-driven scenarios including baseline, policy changes, and stress-test projections.
- Develop ODE and discrete models incorporating seasonality, pricing, and capacity constraints.
- Conduct sensitivity and uncertainty analysis to validate and test model outputs rigorously.
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 say
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