A Crash Course in Causality: Inferring Causal Effects from Observational Data Free Course

This course, offered by the University of Pennsylvania, is designed to provide students with a comprehensive understanding of causal inference from observational data. In today's data-driven world, it is crucial to understand how to accurately determine causal relationships between variables, and this course will equip students with the necessary skills to do so. Through a combination of lectures, readings, and hands-on exercises, students will learn the fundamentals of general statistics, probability and statistics, statistical tests, data analysis, and statistical analysis. They will also gain knowledge and practical experience in estimation, probability distribution, R programming, regression, and statistical programming. With a rating of 4.7 out of 5 stars and over 541 reviews, this course is highly regarded by past students. It is designed for intermediate level learners and can be completed in 1 to 3 months, making it a perfect choice for those looking to quickly gain valuable skills in causal inference. Upon completion of this course, students will have a strong understanding of how to