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Time Series Analysis Course
Master the ins and outs of Time Series Analysis with our comprehensive course, designed specifically for Economics professionals here in Ireland. Delve into data collection from key sources like FRED, hone your skills in data cleaning and preparation, and learn how to fit and evaluate models using MAE and RMSE. Explore forecasting techniques, including ARIMA and SARIMA, and get to grips with programming languages that are essential for analysis. You'll boost your ability to interpret results, spot trends, and present forecasts effectively, giving you the power to make well-informed economic decisions.
- Master data collection: Access and gather economic data efficiently and effectively.
- Implement models: Fit and evaluate time series models accurately, ensuring they're fit for purpose.
- Prepare data: Clean, transform, and organise data, getting it ready for analysis.
- Forecast scenarios: Generate and present effective forecasts, highlighting key insights.
- Analyse trends: Detect seasonality and identify patterns in the data, uncovering hidden insights.

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 comprehensive course, designed specifically for Economics professionals here in Ireland. Delve into data collection from key sources like FRED, hone your skills in data cleaning and preparation, and learn how to fit and evaluate models using MAE and RMSE. Explore forecasting techniques, including ARIMA and SARIMA, and get to grips with programming languages that are essential for analysis. You'll boost your ability to interpret results, spot trends, and present forecasts effectively, giving you the power to make well-informed economic decisions.
Elevify advantages
Develop skills
- Master data collection: Access and gather economic data efficiently and effectively.
- Implement models: Fit and evaluate time series models accurately, ensuring they're fit for purpose.
- Prepare data: Clean, transform, and organise data, getting it ready for analysis.
- Forecast scenarios: Generate and present effective forecasts, highlighting key insights.
- Analyse trends: Detect seasonality and identify patterns in the data, uncovering hidden insights.
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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