Lecture, three hours; discussion, one hour. Enforced requisite: one course from course C161, Computer Science M146, Electrical and Computer Engineering M146, C147, or Mathematics 156. Designed for students interested in generative data science, an emerging field in the intersection of generative artificial intelligence (AI), data science, and machine learning. Introduction to core concepts of generative data science, covering generation, evaluation, and utilization of generative data such as image, text, conversation, and tables. Focus on the evaluation of privacy-preserving effect of generative data. Concurrently scheduled with course C263. P/NP or letter grading.