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Quantitative Methods in Economics Course

Quantitative Methods in Economics Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Gain expertise in practical quantitative methods to convert raw macroeconomic data into robust, evidence-based insights. This focused course covers sourcing dependable 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 to underpin sound decisions and policy advice.

Elevify advantages

Develop skills

  • Mastery of time-series data: sourcing, cleaning, and organising macroeconomic data efficiently.
  • Econometric modelling: implementing and interpreting OLS, growth, log-log, and panel data models.
  • Robust statistical inference: identifying heteroskedasticity, autocorrelation, and correcting standard errors.
  • Producing policy insights: converting regression results into compelling, actionable stories.
  • Trend decomposition: analysing cycles, seasonality, and volatility in critical 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.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
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Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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