Mathematical Modeling Course
Gain mastery in mathematical modelling by constructing and validating growth models using real bike-sharing data. Master calibration techniques, forecasting methods, scenario analysis, and sensitivity tools to transform complex urban data into clear, actionable decisions for better planning.

from 4 to 360h flexible workload
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, create scenarios, and develop solid resource plans from projections, while managing uncertainty, verifying outcomes, and enhancing models with external factors for smarter, data-backed choices.
Elevify advantages
Develop skills
- Build and calibrate growth models for exponential, linear, and logistic demand.
- Convert bike-share forecasts into practical fleet, station, and staffing plans.
- Create data-driven scenarios including baseline, policy changes, and stress tests.
- Develop ODE and discrete models incorporating seasonality, pricing, and capacity constraints.
- Conduct sensitivity and uncertainty analysis to validate and test model outputs.
Suggested summary
Before starting, you can change the chapters and 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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