Time Series Forecasting Course
This course teaches practical time series forecasting techniques for sales data, covering data cleaning, feature engineering, classical and ML models, evaluation, and deployment.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Time Series Forecasting Course provides 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, use ARIMA, exponential smoothing, Prophet, and modern ML models, adjust and assess them with strong backtesting, and ultimately deploy, monitor, and share forecasts that improve planning choices.
Elevify advantages
Develop skills
- Clean time series data: ingest, validate, and impute daily sales quickly.
- Build solid ARIMA, SARIMA, and ETS baselines with proper diagnostics.
- Engineer calendar, lag, and promotion features that enhance forecast accuracy.
- Apply ML forecasters like Prophet and gradient boosting to sales series.
- Evaluate, deploy, and monitor forecasts that guide 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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