Time Series Forecasting Course
This course provides hands-on experience in time series forecasting, covering data cleaning, feature engineering, classical and modern models, evaluation, and deployment for practical business applications like sales forecasting.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Time Series Forecasting Course offers you a quick, hands-on way from raw daily sales data to solid, ready-to-use forecasts. You will clean and check data, create strong calendar and event features, use ARIMA, exponential smoothing, Prophet, and modern machine learning models, adjust and assess them with proper backtesting, and in the end, set up, watch, and share forecasts that help make better planning choices.
Elevify advantages
Develop skills
- Clean time series data: take in, check, and fill missing daily sales quickly.
- Build strong ARIMA, SARIMA, and ETS baselines with good checks.
- Create calendar, lag, and promotion features that improve forecast accuracy.
- Use machine learning forecasters like Prophet and gradient boosting for sales series.
- Assess, set up, and monitor forecasts that guide inventory choices.
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
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio CarloPrompt Engineering Student
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