Professional Certificate in Causal Relationship Analysis Techniques and Frameworks
-- ViewingNowThe Professional Certificate in Causal Relationship Analysis Techniques and Frameworks is a comprehensive course designed to equip learners with essential skills in causal analysis. This certification program is crucial in today's data-driven world, where understanding causal relationships is key to making informed decisions.
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โข Introduction to Causal Relationship Analysis: Understanding the basics of causal inference, techniques, and frameworks.
โข Probability and Statistics: Review of fundamental probability and statistical concepts for causal relationship analysis.
โข Propensity Score Matching: Learning propensity score methods for causal effect estimation.
โข Difference-in-Differences (DID) Design: Exploring the DID method for causal inference in observational studies.
โข Regression Discontinuity Design: Understanding the regression discontinuity design and its applications.
โข Instrumental Variables: Learning about instrumental variables and their role in causal analysis.
โข Structural Equation Models: Examining the use of structural equation models for causal inference.
โข Causal Directed Acyclic Graphs (DAGs): Exploring DAGs for causal model definition and identification.
โข Machine Learning Techniques for Causal Inference: Utilizing machine learning techniques to enhance causal relationship analysis.
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