First Course in Causal Inference

Discover the essential concepts of causal inference with the "First Course in Causal Inference" by renowned author, published by Taylor & Francis Ltd. This comprehensive textbook, set to release in 2024, spans 422 pages and is designed for students and professionals alike. Based on the author's acclaimed course at UC Berkeley, this book requires only a fundamental understanding of probability theory, statistical inference, and linear and logistic regressions, making it accessible for those new to the field. Dive into the world of causal inference with confidence, as this resource assumes minimal prior knowledge, guiding you through the core principles and applications. Perfect for anyone looking to enhance their analytical skills and understanding of causal relationships in data. Don't miss out on this invaluable addition to your academic library!