Recent SemestersSpring 2027, Fall 2026Class SizeNot publishedCredits4PrerequisitePlacement as determined by the college's multiple measures assessment process or completion of a course taught at or above the level of intermediate algebra. Transfers ToCSUDescriptionThis course is an introduction to the key principles and techniques used in data science with an emphasis on descriptive and inferential statistical thinking using a computer programming language. Topics include preparing, cleaning, and analyzing existing real-world datasets visually, numerically, and algorithmically from multiple fields of study to make data-driven decisions. Additional topics include ethical considerations in data use, predictive modeling, and an introduction to machine learning.Usually HeldThu 2:15pm–3:45pm, Thu 3:55pm–5:25pm, Wed 10:30am–12:00pm, Wed 10:45am–12:10pm 