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Time Series Analysis Course
Master the art of Time Series Analysis with our comprehensive course tailored for Economics professionals. Dive into data collection from key sources like FRED, refine 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 essential for analysis. Enhance your ability to interpret results, identify trends, and present forecasts effectively, empowering you to make informed economic decisions.
- Master data collection: Access and gather economic data efficiently.
- Implement models: Fit and evaluate time series models accurately.
- Prepare data: Clean, transform, and organize data for analysis.
- Forecast scenarios: Generate and present effective forecasts.
- Analyze trends: Detect seasonality and identify patterns in data.

4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Master the art of Time Series Analysis with our comprehensive course tailored for Economics professionals. Dive into data collection from key sources like FRED, refine 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 essential for analysis. Enhance your ability to interpret results, identify trends, and present forecasts effectively, empowering you to make informed economic decisions.
Elevify advantages
Develop skills
- Master data collection: Access and gather economic data efficiently.
- Implement models: Fit and evaluate time series models accurately.
- Prepare data: Clean, transform, and organize data for analysis.
- Forecast scenarios: Generate and present effective forecasts.
- Analyze 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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