Congratulations on successfully completing the “Causal Café Lab: From Prediction to Intervention” workshop! This badge signifies your ability to move beyond predictive modelling to causal decision-making using Python. You’ve learned the difference between prediction and causal inference, and why correlation does not imply causation. You’ve also gained hands-on experience defining treatments, outcomes, and confounders, estimating the naive coupon effect and critiquing its bias, building a T-Learner with scikit-learn to estimate customer-level treatment effects, and converting uplift into expected incremental profit to create a budget-constrained targeting strategy. Along the way, you compared causal targeting against predictive and random strategies in an interactive dashboard, learning how to state the assumptions and limitations behind your results and defend a real-world decision.