Quantitative Methods in Economics Course
This course equips you with essential quantitative methods for economics using real-world macro data. You'll master OLS regression, time-series analysis, diagnostic checks, and effective communication of results, transforming data on unemployment, inflation, and GDP into robust, policy-relevant economic insights. Ideal for building skills in data-driven economic analysis.

4 to 360 hours flexible workload
valid certificate 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 suitable controls, performing diagnostics and robustness tests, addressing time-series issues, and communicating findings to underpin sound, evidence-driven decisions and policy advice.
Elevify advantages
Develop skills
- Master time-series data: source, clean, and prepare macro datasets efficiently.
- Build econometric models: implement and analyse OLS, growth, log-log, and panel regressions.
- Ensure robust results: test for heteroskedasticity, autocorrelation, and adjust standard errors.
- Craft policy insights: convert model outputs into compelling, actionable stories.
- Analyse trends: 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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