Mathematical Modeling Course
This course equips learners with practical skills in mathematical modelling for real-world applications like bike-sharing systems, focusing on model building, forecasting, scenario analysis, and decision-making under uncertainty.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Mathematical Modelling Course teaches you to build and calibrate growth models, frame real bike-sharing questions, and turn scarce data into reliable forecasts. You will estimate parameters, compare models, design scenarios, and translate projections into concrete resource plans, while learning to handle uncertainty, validate results, and extend models with external drivers for better, data-informed decisions.
Elevify advantages
Develop skills
- Build and calibrate growth models: fit exponential, linear, and logistic demand.
- Translate bike-share forecasts into concrete fleet, station, and staffing plans.
- Design data-driven scenarios: baseline, policy shifts, and stress-test projections.
- Formulate ODE and discrete models with seasonality, pricing, and capacity limits.
- Run sensitivity and uncertainty analysis to validate and stress-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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