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 OLS regression, time-series analysis tools, diagnostic checks, and result presentation skills to transform data on unemployment, inflation, and GDP into robust, policy-relevant economic insights that stand up to scrutiny.

from 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 suitable 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: source, clean, and prepare macroeconomic datasets efficiently.
- Build econometric models: implement and analyse OLS, growth, log-log, and panel regressions.
- Ensure robust results: identify heteroskedasticity, autocorrelation, and adjust standard errors.
- Craft policy insights: convert model outputs into compelling, evidence-based 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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