Time Series Forecasting Course
This course provides a practical guide to time series forecasting, covering data preparation, model implementation, feature engineering, evaluation, and deployment for production-ready sales forecasts.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Time Series Forecasting Course offers a quick, practical route from raw daily sales data to dependable, production-ready forecasts. You will clean and validate data, create effective calendar and event features, implement ARIMA, exponential smoothing, Prophet, and modern ML models, fine-tune and assess them using solid backtesting, and ultimately deploy, track, and share forecasts that support improved planning choices.
Elevify advantages
Develop skills
- Clean time series data: ingest, validate, and impute daily sales quickly.
- Build robust ARIMA, SARIMA, and ETS baselines with proper diagnostics.
- Engineer calendar, lag, and promotional features that enhance forecast accuracy.
- Apply ML forecasters like Prophet and gradient boosting to sales series.
- Evaluate, deploy, and monitor forecasts that inform inventory 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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