Sales forecasting Course
4.5/5
This course equips you with essential skills in sales forecasting, from data preparation and analysis to advanced modeling and decision-making applications in business.

4.5 in rating
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Master sales forecasting through a focused, practical course that teaches you to create realistic monthly time series, analyse trends, seasonality, and structural breaks, and use proven statistical and machine learning models. Learn to assess accuracy, measure uncertainty, and convert forecasts into solid decisions for stock, marketing, staffing, and continuous performance tracking in actual business settings.
Elevify advantages
Develop skills
- Build realistic monthly sales time series from raw, messy BI data sources.
- Analyse seasonality and trends to uncover drivers of consumer electronics demand.
- Apply ARIMA, ETS, and Prophet to provide accurate short-term sales forecasts.
- Evaluate and ensemble models using MAPE, RMSE, and business-oriented loss metrics.
- Convert forecasts into stock, marketing, and staffing decisions that enhance ROI.
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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