Time Series Forecasting Course
This course teaches practical time series forecasting techniques, from data cleaning and feature engineering to applying models like ARIMA, Prophet, and ML methods, with emphasis on evaluation, deployment, and monitoring for real-world applications like sales forecasting.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Time Series Forecasting Course provides a quick, practical route from raw daily sales data to reliable, production-ready forecasts. You'll clean and validate data, engineer powerful calendar and event features, apply ARIMA, exponential smoothing, Prophet, and modern ML models, tune and evaluate them with robust backtesting, and finally deploy, monitor, and communicate forecasts that drive better planning decisions.
Elevify advantages
Develop skills
- Clean time series data: ingest, validate, and impute daily sales fast.
- Build robust ARIMA, SARIMA, and ETS baselines with sound diagnostics.
- Engineer calendar, lag, and promo features that boost forecast accuracy.
- Apply ML forecasters like Prophet and gradient boosting to sales series.
- Evaluate, deploy, and monitor forecasts that drive inventory decisions.
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 got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio CarloDigital Marketing Student
I like how the lessons get 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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