Time Series Analysis Course
Master time series analysis for retail: clean and transform monthly sales data, model with ARIMA, SARIMA, ETS, and ML tools, validate forecasts, and turn results into clear inventory, pricing, and promotion decisions.

4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
The Time Series Analysis Course gives you practical tools to clean, explore, model, and forecast monthly retail and e-commerce sales. Learn to handle missing data, outliers, calendar effects, and realistic events like Black Friday. Build and compare ARIMA, exponential smoothing, state space, and machine learning models, then communicate clear, actionable forecasts that support inventory, marketing, and revenue decisions.
Elevify Differentials
Develop Skills
- Retail time series prep: clean, transform, and align monthly sales data fast.
- ARIMA, SARIMA, ETS mastery: fit, tune, and compare retail demand forecasts.
- Decomposition and ACF/PACF: reveal trend, seasonality, and event-driven patterns.
- Forecast validation: apply CV, residual checks, and MAE/RMSE/MAPE for accuracy.
- Business-ready insights: turn forecasts into inventory and promotion decisions.
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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