Time Series Analysis Course
This course provides hands-on skills in time series analysis for retail and e-commerce, covering data preparation, modeling with ARIMA, ETS, and ML techniques, and delivering business insights through accurate forecasting.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
The Time Series Analysis Course equips you with practical tools to clean, explore, model, and forecast monthly retail and e-commerce sales. Learn to manage missing data, outliers, calendar effects, and real-world events like Black Friday. Build and compare ARIMA, exponential smoothing, state space, and machine learning models, then deliver clear, actionable forecasts that inform inventory, marketing, and revenue decisions.
Elevify Advantages
Develop Skills
- Retail time series preparation: clean, transform, and align monthly sales data quickly.
- ARIMA, SARIMA, ETS expertise: fit, tune, and compare retail demand forecasts.
- Decomposition and ACF/PACF: uncover trend, seasonality, and event-driven patterns.
- Forecast validation: use cross-validation, residual checks, and MAE/RMSE/MAPE for accuracy.
- Business-ready insights: convert forecasts into inventory and promotion 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 workload.What our students say
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Giulio CarloDigital Marketing Student
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