Professional Certificate in Data-Driven Causal Diagram Analysis

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The Professional Certificate in Data-Driven Causal Diagram Analysis is a comprehensive course designed to equip learners with essential skills for career advancement in the data science industry. This course focuses on teaching learners how to use causal diagrams to identify and address data-related issues, a skill highly sought after by employers in various sectors.

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In this course, you will learn how to construct and interpret directed acyclic graphs (DAGs), a powerful tool for causal inference. You will also gain expertise in identifying confounding variables, distinguishing correlation from causation, and assessing the effectiveness of interventions. By completing this course, you will demonstrate a deep understanding of data-driven causal analysis, a skill that can help you stand out in a competitive job market. You will be able to apply your knowledge to real-world scenarios, improving your ability to make informed decisions based on data.

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โ€ข Unit 1: Introduction to Data-Driven Causal Diagram Analysis
โ€ข Unit 2: Fundamentals of Causal Inference
โ€ข Unit 3: Graphical Causal Modeling: Directed Acyclic Graphs (DAGs)
โ€ข Unit 4: Identifying Confounding Variables
โ€ข Unit 5: Front-door and Back-door Criteria for Causal Inference
โ€ข Unit 6: Causal Effect Estimation Techniques
โ€ข Unit 7: Sensitivity Analysis in Causal Diagrams
โ€ข Unit 8: Advanced Topics: Potential Outcomes and Counterfactuals
โ€ข Unit 9: Real-world Applications of Data-Driven Causal Diagram Analysis
โ€ข Unit 10: Evaluation and Critique of Causal Diagrams

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN DATA-DRIVEN CAUSAL DIAGRAM ANALYSIS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
UK School of Management (UKSM)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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