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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.

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

    4

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    Optional

    Grading

    1

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    Level Limit

    Letters and science

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    FRANKS A
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    Lecture
    ILP 2101
    T R
    12:30 PM - 13:45 PM
    73 / 150
    Sections
    PHELP1513
    R
    09:00 AM - 09:50 AM
    4 / 25
    ILP 4207
    R
    10:00 AM - 10:50 AM
    13 / 25
    PHELP1518
    R
    14:00 PM - 14:50 PM
    23 / 25
    ILP 4209
    R
    15:00 PM - 15:50 PM
    22 / 25
    PHELP1513
    R
    16:00 PM - 16:50 PM
    3 / 25
    PHELP1517
    R
    17:00 PM - 17:50 PM
    8 / 25
    Enrollment Trends
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    Winter 2025 . Franks A
    BUCHN1920
    M W
    14:00 PM - 15:15 PM
    Spring 2024 . T B A
    BUCHN1940
    T R
    09:30 AM - 10:45 AM
    Grading Trends (14)
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    PSTAT 100 Franks A Winter 2025 Total: 131
    PSTAT 100 Zhang T Winter 2026 Total: 107
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