Time Series Forecasting Course
This course teaches practical time series forecasting techniques for sales data, covering data preparation, classical and modern models, feature engineering, evaluation, and deployment.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Time Series Forecasting Course provides a quick, hands-on route from unprocessed daily sales data to dependable, ready-to-use forecasts. You'll tidy and check data, create effective calendar and event features, use ARIMA, exponential smoothing, Prophet, and current machine learning models, adjust and assess them with strong backtesting, and ultimately roll out, track, and share forecasts that improve planning choices.
Elevify advantages
Develop skills
- Clean time series data: take in, check, and fill missing daily sales quickly.
- Create solid ARIMA, SARIMA, and ETS baselines with proper checks.
- Develop calendar, lag, and promotion features that improve forecast precision.
- Use machine learning forecasters like Prophet and gradient boosting for sales series.
- Assess, roll out, and track forecasts that guide inventory choices.
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
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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