4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Acquire practical skills to manage real-world data, execute and interpret regressions, and develop dependable time series insights using Python and R. This succinct course addresses key indicators, model assumptions, robustness checks, and structural breaks, then demonstrates how to deliver clear, straightforward findings, discuss uncertainty, and convert quantitative results into concise, actionable reports for decision-makers.
Elevify Advantages
Develop Skills
- Causal analysis: quickly differentiate correlation from causation in macro data.
- Time series preparation: clean, transform, and seasonally adjust economic data.
- Regression modelling: execute, diagnose, and interpret OLS with real macro examples.
- Robustness checks: test for breaks, incorporate controls, and stress-test macro results.
- Clear economic reporting: convert 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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