Executive Development Programme in Causal Diagram Applications
-- ViewingNowThe Executive Development Programme in Causal Diagram Applications is a certificate course designed to provide professionals with the essential skills to analyze and interpret complex data. This program emphasizes the importance of causal thinking in business decision-making, offering a practical and hands-on approach to applying causal diagrams in various industries.
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โข Introduction to Causal Diagrams: Understanding the basics, components, and types of causal diagrams.
โข Causal Inference and Modeling: Explaining the principles of causal inference, potential outcomes, and graphical modeling.
โข Data Preparation for Causal Analysis: Data cleaning, preprocessing, and formatting techniques for causal diagram applications.
โข Directed Acyclic Graphs (DAGs): Learning to create and interpret DAGs, identifying backdoor paths, and adjusting for confounding.
โข Propensity Score Matching: Understanding the concept and implementation of propensity score matching and weighting.
โข Regression Analysis: Applying regression techniques in causal inference, addressing assumptions, and interpreting results.
โข Sensitivity Analysis: Examining the robustness of causal estimates to unmeasured confounding and different model specifications.
โข Advanced Causal Diagram Topics: Instrumental variables, front-door criteria, and mediation analysis.
โข Communicating Causal Findings: Presenting causal diagram results, visualizations, and interpretations effectively for executive audiences.
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