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  • PSTAT 100

    • Data Science Concepts and Analysis . PSTAT 100

    Overview of data science key concepts and the use of tools for data retrieval, analysis, visualization, and reproducible research in preparation for advanced data science courses. Topics include an introduction to inference and prediction, principles of measurement, missing data, and notions of causality, statistical traps, and concepts in data ethics and privacy.

    Prerequisites: PSTAT 120A; CS 9 or CS 16; and Math 4A, all with letter grade C or better.

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
    These majors only prsds finms stsds actsc
    Instructors
    T B A
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    Lecture
    ILP 2207
    M T W R
    15:30 PM - 16:35 PM
    29 / 50
    Sections
    PHELP1513
    T R
    12:30 PM - 13:20 PM
    16 / 25
    PHELP1513
    T R
    14:00 PM - 14:50 PM
    13 / 25
    Enrollment Trends
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    Spring 2024 . T B A
    BUCHN1940
    T R
    09:30 AM - 10:45 AM
    Summer 2025 . T B A
    ILP 2207
    M T W R
    12:30 PM - 13:35 PM
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    PSTAT 100 Zhang T Fall 2025 Total: 90
    PSTAT 100 Marzban E P Summer 2025 Total: 45
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