Forecasting Course
This course teaches time-series forecasting for business intelligence in e-commerce. Learn to clean data, build ARIMA, SARIMA, exponential smoothing, and ML models, assess accuracy with metrics like MAE, RMSE, MAPE, incorporate drivers for scenarios, and present forecasts to guide revenue, inventory, and marketing strategies confidently.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain hands-on skills to create precise time series forecasts for e-commerce. Master data prep, feature engineering, exploratory analysis, ARIMA, SARIMA, exponential smoothing, and ML models. Practice backtesting, error metrics, scenario planning, and effective communication for data-driven business decisions.
Elevify advantages
Develop skills
- Clean time series data by handling outliers, gaps, and timestamps for reliable forecasts.
- Build and tune ARIMA, SARIMA, and exponential smoothing models using real-world examples.
- Evaluate forecast performance using MAE, RMSE, MAPE with business insights.
- Incorporate drivers like marketing spend and promotions for causal scenario forecasts.
- Present forecasts effectively with visuals, scenarios, and actionable steps for e-commerce.
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
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.
Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.
André FelipePrompt Engineering Student
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