Quantitative Methods in Economics Course
Gain proficiency in key quantitative methods for economics with actual macro data. Master OLS regression, time-series analysis, diagnostic checks, and effective communication of findings to transform data on unemployment, inflation, and GDP into solid, policy-relevant economic analysis. The course equips you to handle real-world datasets confidently and produce defensible conclusions.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Acquire essential quantitative techniques to convert macroeconomic data into reliable insights. This focused course covers sourcing time series data, data cleaning and transformation, constructing OLS models with suitable controls, performing diagnostics and robustness tests, addressing time-series issues, and delivering results for informed decision-making 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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