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 10 / 11

Economic Data Visualization and Dashboard

Gains:

Ability to choose the right chart type (line, column, spread, heat map) according to the data and message and have it produced as code by artificial intelligence
Ability to recognize misleading visualization pitfalls (dashed axis, double axis, fake color coding) and apply honest charting principles
Ability to design a dashboard based on user and decision intent and audit AI output for accessibility and accuracy

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