Berkeley's Data Science Education initiative is founded on the belief that all students must learn to effectively use and interpret data to make informed decisions in their personal and professional lives. A new freshman-level course, launched last Fall, aims to bring Data Science to all students regardless of their area of specialization. With no prerequisites, it teaches students how to think computationally and to understand the concepts of statistical inference through simulations, random permutations, and resampling. The course is augmented by "Connector" courses in a variety of disciplines, allowing students to go deeper into data science in areas of their choice. All course materials are open and all of the software used is open source.

The pilot course was successful according to many criteria, and students have flocked to the second offering this semester. The talk will describe the collaborative process that led to the development of the course; the course itself, with examples; results and responses; and further development of courses and curricula.