Recent SemestersSpring 2026, Summer 2025, Spring 2025, Summer 2024, Summer 2023Class Size30–35 studentsCredits1PrerequisitePlacement 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 ToCSUDescriptionImplement statistical methods, procedures, and analysis in Python, a high-level computer language for statistical programming. Techniques and tools include Python libraries, data frames, graphs, gradient descent, modeling, and simulations. Statistics topics include principles of exploratory data analysis, statistics visualization, probability distributions, hypothesis tests, regression, and optimization using real-world data and examples from biology, GIS, social science, marketing, finance, physics, and other STEM fields. Total 54 hours laboratory.Usually HeldFri 1:15pm–4:25pm, Fri 6:00pm–8:00pm 