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Time Series Analysis Course
Master the craft of Time Series Analysis with our in-depth course designed for Economics professionals. Delve into data collection from important sources like FRED, hone your skills in data cleaning, and learn to fit and evaluate models using MAE and RMSE. Explore forecasting techniques, including ARIMA and SARIMA, and gain proficiency in programming languages crucial for analysis. Improve your ability to interpret results, spot trends, and present forecasts effectively, enabling you to make well-informed economic decisions.
- Master data collection: Access and collect economic data efficiently.
- Implement models: Fit and evaluate time series models accurately.
- Prepare data: Clean, transform, and organise data for analysis.
- Forecast scenarios: Generate and present effective forecasts.
- Analyse trends: Detect seasonality and identify patterns in data.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Master the craft of Time Series Analysis with our in-depth course designed for Economics professionals. Delve into data collection from important sources like FRED, hone your skills in data cleaning, and learn to fit and evaluate models using MAE and RMSE. Explore forecasting techniques, including ARIMA and SARIMA, and gain proficiency in programming languages crucial for analysis. Improve your ability to interpret results, spot trends, and present forecasts effectively, enabling you to make well-informed economic decisions.
Elevify advantages
Develop skills
- Master data collection: Access and collect economic data efficiently.
- Implement models: Fit and evaluate time series models accurately.
- Prepare data: Clean, transform, and organise data for analysis.
- Forecast scenarios: Generate and present effective forecasts.
- Analyse trends: Detect seasonality and identify patterns in data.
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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