Quantitative Methods in Economics Course
This course equips you with essential quantitative methods in economics through hands-on work with real macroeconomic data. You will master ordinary least squares (OLS) regression, time-series analysis tools, diagnostic testing, and result presentation skills to transform key indicators like unemployment rates, inflation, and GDP into robust, policy-relevant economic analyses that support evidence-based conclusions.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain expertise in practical quantitative techniques to convert raw macroeconomic data into reliable, actionable insights. This focused course covers sourcing credible time series data, cleaning and transforming it, constructing OLS models with proper controls, performing diagnostics and robustness tests, addressing time-series challenges, and communicating findings effectively for informed decision-making and policy advice.
Elevify advantages
Develop skills
- Master time-series data: efficiently source, clean, and organize macroeconomic datasets.
- Build econometric models: implement and analyze OLS, growth, log-log, and panel data regressions.
- Ensure robust results: identify heteroskedasticity, autocorrelation, and adjust standard errors appropriately.
- Craft policy insights: convert regression findings into compelling, actionable stories.
- Conduct trend analysis: break down cycles, seasonality, and volatility in economic indicators.
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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