• Courses
  • PSTAT
  • PSTAT 234

    • Statistical Data Science . PSTAT 234

    Overview and use of data science tools in R and/or Python for data retrieval, analysis, visualization, reproducible research, and automated report generation. Case studies will illustrate the practical use of these tools.

    + Add to schedule
    Prerequisites: PSTAT 131 or PSTAT 231 or Computer Science 165B; and Computer Science 9 or Computer Science 16. A minimum letter grade of C or better must be earned in each course.

    4

    Units

    Optional

    Grading

    1, 2, 3

    Passtime

    None

    Level Limit

    Letters and science

    College
    Instructors
    BARACALDO LAN
    No info found
    Lecture
    CHEM 1171
    T R
    15:30 PM - 16:45 PM
    12 / 20
    Sections
    PHELP1525
    W
    10:00 AM - 10:50 AM
    4 / 5
    PHELP1525
    W
    11:00 AM - 11:50 AM
    5 / 5 Full
    PHELP1525
    W
    12:00 PM - 12:50 PM
    0 / 5
    PHELP1525
    W
    13:00 PM - 13:50 PM
    3 / 5
    Enrollment Trends
    Past Enrollment Trends (1)
    Spring 2024 . Baracaldo Lan
    BUCHN1920
    M W
    09:30 AM - 10:45 AM
    Grading Trends (8)
    See All
    PSTAT 234 Oh Sang-Yun Fall 2023 Total: 19
    PSTAT 234 Oh Sang-Yun Fall 2022 Total: 5
    You Might Also Like
    PSTAT 227
    20 / 30 Enrolled
    Bootstrap and Resampling Methodology
    Andrew Carter 3.3
    T R
    09:30 AM - 10:45 AM
    PSTAT 231
    12 / 20 Enrolled
    Introduction to Statistical Machine Learning
    T B A
    T R
    17:00 PM - 18:15 PM