Time Series Forecasting Course
This course provides a practical guide to time series forecasting, covering data preparation, model building with ARIMA, ETS, Prophet, and ML techniques, evaluation, deployment, and monitoring for sales forecasting applications.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Time Series Forecasting Course gives you a fast, practical path from raw daily sales data to reliable, production-ready forecasts. You will 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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio CarloAluno de Engenharia de Prompt
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