COMPSCI 11 - Python Data Analytics

    Recent Professors
    T. Kocher
    Recent Semesters
    Spring 2027, Fall 2026
    Class Size
    32 students
    Difficulty
    4.9Moderateout of 10
    Credits
    3
    Prerequisite
    Completion with a C or better in: COMPSCI 5
    Spring 2027 Sections
    View Spring 2027 sections of COMPSCI 11
    Transfers To
    Not transferable
    Description
    This course provides students with experience in using Python as a tool to import, explore, condition, and analyze data. Students will develop ways to find meaning in data using Python tools and modules such as NumPy, Matplotlib, and Pandas. Topics include: production of plots and models for decision-making, import and manipulation of databases, data visualization, selection and application of statistical analyses, machine learning, and predictive modeling.