• 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.

    Login to 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
    OH SANG-YUN
    Sang-Yun Oh
    2.2
    31 reviews
    Predicted Grading Distribution
    AI predicted, based on past grading trends of the course and instructor, class info, and 127 other factors
    Lecture
    ILP 3205
    M W
    14:00 PM - 15:15 PM
    0 / 30
    Sections
    SSMS 1303
    T
    12:00 PM - 12:50 PM
    0 / 30
    Los Ingenieros logo
    Los Ingenieros
    We are the Society of Hispanic Professional Engineers (SHPE) here at UCSB, and our vision is to enhance support for all our members throughout their higher education journey. Whether your interests are in engineering, mathematics, biology, or beyond, Los Ingenieros is dedicated to making a positive impact through professional growth and success, academic opportunities, community involvement, and networking for both our members and the local community. And most importantly, you don’t have to be an engineer, in STEM, or Hispanic to join; we welcome everyone!
    Promoted

    See What Los Ingenieros Is All About

    Check out our board, achievements, events, and more on our website!

    Visit website
    Enrollment Trends
    Past Enrollment Trends (6)
    See All
    Winter 2025 . Oh Sang-Yun
    SH 1430
    T R
    15:30 PM - 16:45 PM
    Fall 2025 . Oh Sang-Yun
    ILP 4101
    M W
    14:00 PM - 15:15 PM
    Grading Trends (11)
    See All
    PSTAT 234 Oh Sang-Yun Fall 2025 Total: 11
    PSTAT 234 Oh Sang-Yun Winter 2025 Total: 8
    Rate My Professors
    See All
    31
    2.2
    PSTAT134 . Oh Sang-Yun 5 Months Ago

    i had a 96% coming into the final and oh boy, where do i even start about this final. the questions were so absurdly abstract, unseen, but most importantly unfair towards every student in the class. i felt that they did not reflect what we learned during the quarter at all; cherry on top he barely curved so i ended the course with a flat B. AVOID!

    0 helpful 0 unhelpful
    PSTAT134 . Oh Sang-Yun 7 Months Ago

    Cannot hear the professor at all and he refuses to wear a mic. Made the final questions we had never gone over in class and barely curved. Would not recommend

    0 helpful 0 unhelpful
    PSTAT135 . Oh Sang-Yun 1 Year, 4 Months Ago

    Sang is a considerate professor, and taught the course content in a useful, albeit monotonous fashion. A lot of new content to cover than most PSTAT courses, with weekly quizzes in lecture (open note!) and pointless sections, and while assignments were certainly doable some programs chosen were quite difficult to work with (especially the project).

    0 helpful 0 unhelpful
    PSTAT135 . Oh Sang-Yun 1 Year, 4 Months Ago

    Lectures were very slow and dry. Content seemed disorganized and jumped around topics week by week. Quiz every Thursday in person at the end of class. And there was a final group project, but it was just really tedious because of the online system we had to use. Overall very disappointing for a class I thought would be really interesting.

    0 helpful 0 unhelpful
    PSTAT134 . Oh Sang-Yun 1 Year, 6 Months Ago

    Very bad and boring lectures. Do not take this professor if you actually want to learn anything.

    0 helpful 0 unhelpful
    PSTAT134 . Oh Sang-Yun 2 Years Ago

    the way the class is weighted it is easy to get a good grade without doing that much however class was so boring i did not learn anything in class and I was confused all quarter long. I came away from this class feeling like I learned absolutely nothing.

    0 helpful 0 unhelpful
    See all 31 reviews
    You Might Also Like
    PSTAT 207B
    0 / 30 Enrolled
    Statistical Theory
    Sreenivasa Jammalamadaka 4.3
    T R
    11:00 AM - 12:15 PM
    PSTAT 213B
    0 / 30 Enrolled
    Introduction to Probability Theory and Stochastic Processes
    Feldman R
    T
    14:00 PM - 15:50 PM
    PSTAT 215A
    0 / 30 Enrolled
    Bayesian Inference
    Alexander Franks 4.6
    T R
    09:30 AM - 10:45 AM
    PSTAT 220B
    0 / 40 Enrolled
    Advanced Statistical Methods
    Qu P
    M W
    12:30 PM - 13:45 PM
    PSTAT 223B
    0 / 20 Enrolled
    Financial Modeling
    Jean-Pierre Fouque 4.0
    M W
    11:00 AM - 12:15 PM
    PSTAT 262MC
    0 / 30 Enrolled
    Seminars in Probability and Statistics
    Alexander Shkolnik 3.7
    M W
    11:00 AM - 12:15 PM