Time Series Analysis Course
This course provides hands-on experience in time series analysis for retail and e-commerce sales forecasting, covering data preparation, modeling techniques, and business applications.

from 4 to 360h flexible workload
valid certificate 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-life events like Black Friday. Build and compare ARIMA, exponential smoothing, state space, and machine learning models, then deliver clear, actionable forecasts that guide inventory, marketing, and revenue choices.
Elevify advantages
Develop skills
- Retail time series prep: clean, transform, and align monthly sales data quickly.
- ARIMA, SARIMA, ETS mastery: fit, tune, and compare retail demand forecasts.
- Decomposition and ACF/PACF: uncover trend, seasonality, and event-driven patterns.
- Forecast validation: apply CV, 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 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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