Time Series Analysis Course
This course equips learners with essential skills for analyzing and forecasting time series data in retail and e-commerce contexts, covering data preparation, modeling techniques, validation, and business applications.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Time Series Analysis Course provides practical tools to clean, explore, model, and forecast monthly retail and e-commerce sales. Learn to handle missing data, outliers, calendar effects, and real 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 advantages
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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