MATH 137 - STATISTICS FOR DATA SCIENCE

    Recent Professors
    Charlotte Schulten
    Recent Semesters
    Fall 2026
    Class Size
    Not published
    Difficulty
    5.0Moderateout of 10
    Credits
    5
    Prerequisite
    Placement is based on academicbackgroundorsatisfactorycompletion of MATH 90
    Fall 2026 Sections
    View Fall 2026 sections of MATH 137
    Transfers To
    UC and CSUCal-GETC Area 2
    Description
    MATH 137 combines descriptive statistics concepts such as probability techniques, gathering and summarizing data and relationships between variables, inferential statistics concepts such as confidence intervals, hypothesis testing such as chi-square, t-tests, and analysis of variance, decision making, and the application of technology to statistical analysisusing Python. Students will study correlation and regression analysessuchaslinearmodelsandtheapplication of technology for statistical analysis including the interpretation of the relevance of the statistical findings to data science. The course teaches critical concepts and skills in quantitative reasoning and statistical analysis, in conjunction with hands-on analysis of real- world datasets, including economic data, document collections, geographical data, and social networks. It also delves into social issues surrounding the ethical use of data.
    Usually Held
    Mon Wed 1:55pm–4:00pm