Forecasting Course
This course provides hands-on training in time series forecasting for e-commerce, covering data preparation, classical and ML models, evaluation, causal forecasting, and communication skills to drive business decisions.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Forecasting Course equips you with practical, end-to-end skills to create accurate, explainable time series forecasts for e-commerce. You will learn data preparation, feature engineering, and exploratory analysis, then master ARIMA, SARIMA, exponential smoothing, and ML-based models. Practice backtesting, error metrics, scenario planning, and clear communication to ensure your forecasts support confident, data-informed decisions.
Elevify advantages
Develop skills
- Clean time series data by fixing outliers, gaps, and timestamps for BI-ready forecasts.
- Build and tune ARIMA, SARIMA, and exponential smoothing models in real-world cases.
- Evaluate forecast accuracy using MAE, RMSE, MAPE with clear business implications.
- Use drivers such as marketing spend and promotions for causal, scenario-based forecasts.
- Present forecasts with visuals, scenarios, and actions to inform e-commerce decisions.
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 workloadWhat our students say
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