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Specialist in Time Series Course
Master the ins and outs of time series analysis with our Specialist in Time Series Course, tailored for statistics professionals looking to sharpen their forecasting abilities. Delve into data preprocessing methods, including spotting outliers and dealing with missing values. Get to grips with advanced forecasting models like ARIMA and SARIMA, and learn how to break down time series into trend and seasonal elements. Build up expertise in model training, validation, and visualization, and develop strategic insights for fine-tuning stock and marketing plans. Sign up now to turn your data into insights you can actually use.
- Master outlier detection: Spot and get rid of anomalies in datasets.
- Implement ARIMA models: Forecast future trends with pinpoint accuracy.
- Conduct seasonality analysis: Uncover regular patterns in data.
- Evaluate model accuracy: Use MAE and RMSE for performance insights.
- Visualize data trends: Compare forecasted and historical data effectively.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Master the ins and outs of time series analysis with our Specialist in Time Series Course, tailored for statistics professionals looking to sharpen their forecasting abilities. Delve into data preprocessing methods, including spotting outliers and dealing with missing values. Get to grips with advanced forecasting models like ARIMA and SARIMA, and learn how to break down time series into trend and seasonal elements. Build up expertise in model training, validation, and visualization, and develop strategic insights for fine-tuning stock and marketing plans. Sign up now to turn your data into insights you can actually use.
Elevify advantages
Develop skills
- Master outlier detection: Spot and get rid of anomalies in datasets.
- Implement ARIMA models: Forecast future trends with pinpoint accuracy.
- Conduct seasonality analysis: Uncover regular patterns in data.
- Evaluate model accuracy: Use MAE and RMSE for performance insights.
- Visualize data trends: Compare forecasted and historical data effectively.
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
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