• Courses
  • PSTAT
  • PSTAT 10

    • Principles of Data Science with R . PSTAT 10

    Fundamentals of programming for data science using R. Descriptive statistics, distributions and graphics in R. Relational database management systems including the relational model, relational algebra, database design principles and data manipulation using SQL. An introduction to the concept of big data.

    + Add to schedule
    Prerequisites: Math 2B or 3B with a minimum grade of C or better.

    5

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
    Unlocks PSTAT 140 PSTAT 123 PSTAT 5H PSTAT 122 PSTAT 126 PSTAT 174
    These majors only stats
    Instructors
    HOLMES D E
    No info found
    Lecture
    CHEM 1179
    W F
    12:30 PM - 13:45 PM
    269 / 270
    Sections
    SSMS 1303
    T R
    10:00 AM - 10:50 AM
    27 / 27 Full
    SSMS 1304
    T R
    10:00 AM - 10:50 AM
    26 / 27
    SSMS 1304
    T R
    11:00 AM - 11:50 AM
    27 / 27 Full
    SSMS 1303
    T R
    11:00 AM - 11:50 AM
    27 / 27 Full
    SSMS 1005
    T R
    12:00 PM - 12:50 PM
    27 / 27 Full
    SSMS 1005
    T R
    13:00 PM - 13:50 PM
    27 / 27 Full
    SSMS 1005
    T R
    14:00 PM - 14:50 PM
    27 / 27 Full
    SSMS 1005
    T R
    15:00 PM - 15:50 PM
    27 / 27 Full
    SSMS 1005
    T R
    16:00 PM - 16:50 PM
    27 / 27 Full
    SSMS 1005
    T R
    17:00 PM - 17:50 PM
    27 / 27 Full
    Enrollment Trends
    Past Enrollment Trends (9)
    See All
    Spring 2024 . Holmes D E
    ILP 2302
    W F
    12:30 PM - 13:45 PM
    Fall 2024 . Holmes D E
    ILP 1203
    T R
    11:00 AM - 12:15 PM
    Grading Trends (36)
    See All
    PSTAT 10 Holmes D E Fall 2024 Total: 287
    PSTAT 10 Holmes D E Spring 2024 Total: 234
    You Might Also Like
    PSTAT 5A
    300 / 300 Full
    Understanding Data
    Julie Swenson 4.3
    T
    08:00 AM - 09:15 AM
    32.5% A
    PSTAT 5H
    28 / 30 Enrolled
    Honors Seminar, Statistics
    Wendy Meiring 2.8
    T
    14:00 PM - 14:50 PM
    96.9% A
    PSTAT 5LS
    300 / 300 Full
    Statistics for Life Sciences
    Jack Miller 4.8
    T R
    15:30 PM - 16:45 PM
    39.4% A
    PSTAT 8
    67 / 75 Enrolled
    Transition to Data Science, Probability and Statistics
    Dawn Holmes 3.3
    M W
    11:00 AM - 12:15 PM
    47.7% A
    PSTAT 8
    75 / 75 Full
    Transition to Data Science, Probability and Statistics
    Sharon Solis 3.0
    T R
    11:00 AM - 12:15 PM
    47.7% A
    PSTAT 99
    0 / 0 Full
    Independent Studies in Statistics
    T B A