MATH 11 - Data Science for All

    Recent Professors
    Sudha Kolathu Parambil
    Recent Semesters
    Spring 2027, Fall 2026, Spring 2026, Fall 2025
    Class Size
    Not published
    Difficulty
    5.8Demandingout of 10
    Credits
    4
    Prerequisite
    Completion of Intermediate Algebra or equivalent with grade of "C" or better, or appropriate placement
    Spring 2027 Sections
    View Spring 2027 sections of MATH 11
    Transfers To
    UC and CSUCal-GETC Area 2
    Description
    Designed for students from any major, provides high-level understanding of how data, statistics, and inference are inter-related. Introduces the core concepts of data science, including statistical inference and computational thinking. Teaches critical concepts and skills in computer programming and statistical inference while working with real data, such as economic data, geographic data, and social networks. Prepares students to make more data-driven decisions, gaining experience with machine learning and with the practical application of statistical concepts like hypothesis testing, confidence intervals via bootstrapping, regression, inference for regression, and predictive modeling while considering the social issues surrounding data privacy and data ownership. (C-ID MATH 110) (CSU, UC)
    Usually Held
    Thu 4:15pm–6:20pm, Tue Thu 8:00am–9:30am, Tue Thu 9:30am–11:05am