Recent SemestersFall 2026, Spring 2026, Fall 2025, Spring 2025, Fall 2024Class Size35 studentsCredits4PrerequisitePlacement as determined by the college's multiple measures assessment processor completion of a course taught at or above the level of intermediate algebra . Transfers ToUC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4DescriptionThe goal of this course is to teach students data science as a way of thinking. The course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from real-world phenomenon, the course asks how one analyzes the data so as to understand that phenomenon. The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social issues surrounding data analysis such as privacy and design. As a byproduct, it is also meant to teach students some basic Python programming language syntax, and how to apply it to solve problems.Usually HeldWed 6:00pm–9:00pm 