Enroll Course: https://www.coursera.org/learn/causal-inference-2
Coursera’s ‘Causal Inference 2’ is a comprehensive course designed for those interested in mastering advanced concepts in causal inference with a strong mathematical foundation. This course is ideal for graduate students, researchers, and professionals working in science, medicine, policy, or business who need to understand how to draw credible causal conclusions from data. The syllabus covers a wide array of sophisticated topics including mediation analysis, instrumental variables, principal stratification, regression discontinuity, longitudinal causal inference, and interference with fixed effects.
What sets this course apart is its rigorous approach, delving into the statistical literature from the past 35-40 years that has transformed causal analysis. Each module builds on the previous one, providing a logical progression from foundational concepts to complex methodologies. The course materials include lectures, readings, and assignments that encourage hands-on understanding of causal strategies and their applications.
I highly recommend this course for those who already possess a basic understanding of statistics and are looking to deepen their expertise in causal inference. Whether you’re conducting research or working on policy analysis, the tools and insights gained from this course will significantly enhance your capacity to make valid causal claims and interpret complex data structures.
Enroll Course: https://www.coursera.org/learn/causal-inference-2