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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. 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. Case studies illustrate the importance of domain knowledge.

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    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 finms actsc stsds stsap stats
    Instructors
    ZHANG T
    No info found
    Lecture
    BUCHN1940
    M W
    08:00 AM - 09:15 AM
    100 / 100 Full
    Sections
    ILP 3316
    T
    13:00 PM - 13:50 PM
    25 / 25 Full
    ILP 4103
    T
    14:00 PM - 14:50 PM
    25 / 25 Full
    ILP 3316
    T
    15:00 PM - 15:50 PM
    25 / 25 Full
    ILP 3316
    T
    16:00 PM - 16:50 PM
    25 / 25 Full
    Enrollment Trends
    Past Enrollment Trends (6)
    See All
    Winter 2026 . Zhang T
    CHEM 1171
    M W
    08:00 AM - 09:15 AM
    Spring 2024 . T B A
    BUCHN1940
    T R
    09:30 AM - 10:45 AM
    Grading Trends (11)
    See All
    PSTAT 100 Abuzaid A H Spring 2025 Total: 109
    PSTAT 100 Franks A Winter 2025 Total: 131
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