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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
    ABUZAID A H
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    Lecture
    NH 1006
    T R
    17:00 PM - 18:15 PM
    119 / 125
    Sections
    ILP 4105
    R
    09:00 AM - 09:50 AM
    23 / 25
    GIRV 2115
    T
    08:00 AM - 08:50 AM
    24 / 25
    ILP 3101
    T
    11:00 AM - 11:50 AM
    25 / 25 Full
    BUCHN1934
    T
    13:00 PM - 13:50 PM
    24 / 25
    ILP 3209
    R
    08:00 AM - 08:50 AM
    23 / 25
    Enrollment Trends
    Past Enrollment Trends (2)
    Spring 2024 . T B A
    BUCHN1940
    T R
    09:30 AM - 10:45 AM
    Winter 2025 . Franks A
    BUCHN1920
    M W
    14:00 PM - 15:15 PM
    Grading Trends (8)
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    PSTAT 100 Marzban E P Spring 2024 Total: 95
    PSTAT 100 Baracaldo Lan Fall 2023 Total: 104
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