This course introduces the principles of data science with emphasis on mathematical reasoning, interpretation of data, and the responsible use of algorithms in society. Students will learn how to collect, visualize, and interpret data, make statistical inferences and predictions, and understand the role of randomness, correlation, and causation. No prior programming experience is required; basic coding will be taught within the course. Prerequisite: A student in this course should be college-ready in mathematics as assessed by local institutions (for example: Intermediate Algebra with a C or better, placement, co-requisite course, multiple measures, transitional mathematics competencies, PMGE, or professional organization recommendations, etc.)
NEW COURSE! - Created 10/31/2025 - Available for submission in Spring 2026.