Units
1. Introduction to Artificial Intelligence in Economics: Roles, Boundaries, Validation and Data Ethics
2. Economic Data Collection and Source Verification: TURKSTAT, EVDS, IMF, World Bank, FRED
3. Data Cleansing, Transformation and Exploratory Analysis (With Python/pandas Support)
4. Time Series Analysis and Forecast Support
5. Interpreting Macroeconomic Indicators: Inflation, Growth, Unemployment, Current Account Balance
6. Scenario Modeling and Sensitivity Analysis
7. Econometric Model Support: Regression, Causation and Interpretation
8. Literature Review and Economic Research Synthesis
9. Policy Note, Report and Briefing Writing
10. Economic Data Visualization and Dashboard
11. Boundaries, Model Risk, Ethics, Privacy and Governance
Unit 9 / 11
Policy Note, Report and Briefing Writing
Gains:
- Ability to draft executive summary, policy note and technical report formats according to the target audience with artificial intelligence support
- Ability to use AI for clarity, tone, structure and language simplification, keeping every issue and claim linked to the source
- Ability to maintain the obligation of impartiality, honest communication of uncertainty and expert approval in publicly available economic texts