Professional Certificate in Advanced Causal Diagram Techniques
-- ViewingNowThe Professional Certificate in Advanced Causal Diagram Techniques is a comprehensive course designed to enhance your understanding and expertise in causal diagrams. This certification program focuses on teaching you the advanced techniques necessary to create complex causal diagrams, a skill highly sought after in many industries.
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โข Causal Diagram Basics: Introduction to causal diagrams, understanding confounding, bias, and backdoor criteria
โข Directed Acyclic Graphs (DAGs): Learning DAGs and their components, constructing causal diagrams using DAGs
โข Adjustment Sets: Identifying adjustment sets in causal diagrams, using adjustment sets for causal inference
โข Frontdoor Criteria & Instrumental Variables: Understanding frontdoor criteria, instrumental variables, and their applications
โข Propensity Score Methods: Introduction to propensity score methods, propensity score matching, and weighting
โข Sensitivity Analysis: Exploring sensitivity analysis, assessing robustness of causal estimates
โข Advanced DAG Topics: Advanced DAG concepts, including m-separation, d-separation, and recursive algorithms
โข Causal Discovery Algorithms: Learning causal discovery algorithms, constraint-based, score-based, and hybrid methods
โข Applications in Machine Learning: Applying causal diagram techniques in machine learning models, confounding adjustment in ML models
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