사전 지식

• 인과추론을 왜 하는가 (또는, 준실험이 왜 필요한가?): RCT 또는 AB 테스트를 종종 윤리적, 비용적 이유로 할 수 없을 때 합니다.

• Some Key Concepts

  • Python and Data Science: Data Cleaning / Preprocessing / Visualization etc.

  • Statistics and Econometrics: Hypothesis-testing(p-value, confidence interval), panel data, DAG, Bias (Confounding, Selection Bias), Moderator vs Mediator

  • Machine Learning: train-test split, cross-validation, some famous models (Regularized Regression, Logistic Regression, Random Forest, XGBoost, etc.)