Forecasting Course
Build expert time-series forecasting for business intelligence in e-commerce. Handle data prep and modelling with ARIMA, SARIMA, exponential smoothing, and ML approaches. Assess accuracy using key metrics, incorporate business drivers, and deliver actionable forecasts for revenue growth, stock control, and marketing strategies.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills to create reliable time series forecasts for e-commerce operations. Master data cleaning, feature creation, analysis, plus ARIMA, SARIMA, smoothing techniques, and machine learning models. Practice testing, measuring errors, planning scenarios, and sharing insights to support smart business choices.
Elevify advantages
Develop skills
- Clean time series data by handling outliers, missing values, and timestamps for solid forecasts.
- Develop and adjust ARIMA, SARIMA, and exponential smoothing models using real-world examples.
- Measure forecast performance with MAE, RMSE, MAPE, linking to practical business impacts.
- Incorporate factors like promotions and spending for scenario-driven causal forecasting.
- Communicate forecasts effectively with charts, scenarios, and recommendations for e-commerce.
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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