Setting up a Python environment for fairness analysis - Loading and exploring datasets with known demographic disparities - Computing industry-standard fairness metrics using Fairlearn - Detecting proxy discrimination using SHAP (SHapley Additive exPlanations) - Explaining individual decisions using