Time Series Analysis Course
This course equips you with essential time series analysis techniques tailored for retail data. You will learn to preprocess monthly sales figures, apply advanced models including ARIMA, SARIMA, ETS, and machine learning methods, validate predictions using cross-validation and error metrics, and translate insights into practical business decisions for inventory, pricing, and promotions. Ideal for professionals aiming to boost forecasting accuracy in dynamic retail environments.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain hands-on skills to clean, analyse, model, and predict monthly retail and e-commerce sales data. Master techniques for handling missing values, outliers, seasonal patterns, and special events like Black Friday. Develop and evaluate ARIMA, exponential smoothing, state space, and machine learning models to deliver precise forecasts for better inventory management, marketing strategies, and revenue planning.
Elevify advantages
Develop skills
- Prepare retail time series data by cleaning, transforming, and aligning monthly sales efficiently.
- Master ARIMA, SARIMA, and ETS models to fit, tune, and compare demand forecasts accurately.
- Use decomposition, ACF, and PACF to uncover trends, seasonality, and event impacts.
- Validate forecasts with cross-validation, residual analysis, and metrics like MAE, RMSE, MAPE.
- Convert forecasting results into actionable strategies for inventory and promotions.
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
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course