Global Certificate in Causal Links Frameworks
-- ViewingNowThe Global Certificate in Causal Links Frameworks is a comprehensive course designed to equip learners with essential skills in causal inference, a highly sought-after skill in today's data-driven world. This course focuses on developing a deep understanding of various causal links frameworks, including propensity score matching, difference-in-differences, and regression discontinuity designs.
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โข Introduction to Causal Inference
โข Types of Causal Models: Potential Outcomes, Structural Equations, and Graphical Models
โข Identifying Causal Effects: Back-Door Criterion, Front-Door Criterion, and Instrumental Variables
โข Propensity Score Matching and Weighting
โข Causal Discovery Algorithms and Constraint-Based Methods
โข Difference-in-Differences Estimation and Regression Discontinuity Designs
โข Sensitivity Analysis and Robustness Checks
โข Causal Inference in Machine Learning: Uplift Modeling, Causal Trees, and Forests
โข Ethical Considerations in Causal Inference
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