from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills to handle real-world data, run and interpret regressions, and build reliable time series insights using Python and R. This concise course covers key indicators, model assumptions, robustness checks, and structural breaks, then shows you how to present clear, honest findings, explain uncertainty, and translate quantitative results into concise, actionable reports for decision-makers.
Elevify advantages
Develop skills
- Causal analysis: distinguish correlation from causation in macro data fast.
- Time series prep: clean, transform, and seasonally adjust economic data.
- Regression modeling: run, diagnose, and explain OLS with real macro examples.
- Robustness checks: test breaks, add controls, and stress-test macro results.
- Clear econ reporting: translate stats into concise, policy-ready insights.
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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