📉Artificial Intelligence in Econometrics and Statistics

Finance & Business · 11 units · free, no membership

1 Artificial Intelligence in Econometrics and Statistics: Roles, Boundaries, Authentication and Privacy

2 Data Cleaning and Preparation: Missing Data, Outliers, and Coding

3 Exploratory Data Analysis and Visualization: Graphing and Interpretation with Artificial Intelligence

4 Linear Regression: Model Building, Coefficient Interpretation and Assumptions

5 Regression Diagnostics and Violations: Collinearity, Heteroscedasticity, Autocorrelation

6 Hypothesis Testing and p-value: Significance, Power, and Multiple Comparisons

7 p-hacking, HARKing and Statistical Integrity: Pitfalls in the Age of Artificial Intelligence

8 Time Series Analysis: Stationarity, ARIMA and Forecasting

9 Causation and Policy Analysis: DiD, IV, RDD and Artificial Intelligence

10 Code Generation and Reproducibility: R/Python, Versioning and Reproducibility

11 Report Writing, Communication, and Ethics: Presenting Results and Communicating Boundaries

All trainings Start from unit 1