BUAN4322 - Causal Analysis and A/B Testing

BUAN 4322 Causal Analysis and A/B Testing (3 semester credit hours) Principles and practices of causal analysis and A/B testing for data-driven business decisions. Covers foundational statistical concepts for designing experiments, interpreting results, and evaluating causal relationships using a causal inference framework. Includes methods such as backdoor adjustment and do-calculus at an introductory level. Emphasizes A/B testing in product development and user experience. Features hands-on use of Python for causal analysis and experiment design. Focuses on evaluating causal claims and applying modern tools to guide strategic business decisions. Prerequisite: BUAN 4373 and (BUAN 4381 or ITSS 4381). (3-0) Y