README.md

Data Analytics and Programming with Python in Economics

Jupyter Notebooks

• Session 1
• Session 2
• Describing Variables and Distributions (Sessions 3-5)
• Measures of Association Between Variables, Statistical Inference (Sessions 6-8)
• Linear Regression Introduction (Sessions 9-10)
• Linear Regression: Application to Gender Pay Gaps (Sessions 11-12)
• Linear Regression: Predicting Hourly Pay (Sessions 12-13)

PDF files

• Review Exercises (Sessions 13-14)