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Time Series Analysis Course
Become proficient in Time Series Analysis with our detailed course designed for Economics professionals in Pakistan. Learn to collect data from important sources like FRED, improve your data cleaning skills, and master fitting and evaluating models using MAE and RMSE. Discover forecasting methods, including ARIMA and SARIMA, and gain expertise in programming languages vital for analysis. Enhance your ability to interpret results, pinpoint trends, and present forecasts effectively, enabling you to make well-informed economic decisions.
- Master data collection: Efficiently access and gather economic data.
- Implement models: Accurately fit and evaluate time series models.
- 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 from 4 to 360h
certificate recognized by the MEC
What will I learn?
Become proficient in Time Series Analysis with our detailed course designed for Economics professionals in Pakistan. Learn to collect data from important sources like FRED, improve your data cleaning skills, and master fitting and evaluating models using MAE and RMSE. Discover forecasting methods, including ARIMA and SARIMA, and gain expertise in programming languages vital for analysis. Enhance your ability to interpret results, pinpoint trends, and present forecasts effectively, enabling you to make well-informed economic decisions.
Elevify advantages
Develop skills
- Master data collection: Efficiently access and gather economic data.
- Implement models: Accurately fit and evaluate time series models.
- 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 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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