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PSTAT 134/234 - Statistical Data Science

Instructor: Sang-Yun Oh

  • Email: syoh@ucsb.edu

  • Lectures: TR 9:30 am - 10:45 am

  • Office: South Hall 5514

  • Office hours: TBD

Course Resources

Course Information

Grading

  • Attendance in lectures and sections are required (10%)
    Total of five will be dropped. No exceptions

  • Individual in-class midterm (25%)

  • Individual assignments (35%)

  • Group final project & poster session (30%)

Textbooks

Tentative course outline

  • Week 1 (4/1-4/5): Data and uncertainty

  • Week 2 (4/8-4/12): Data scraping, transformation, and wrangling

  • Week 3-4 (4/15-4/26): Visualization and exploratory analysis

  • In-class midterm (4/30)

  • Week 5-6 (5/1-5/10): Finance data module

  • Week 7-8 (5/13-5/23): Health data module

  • Week 9 (5/27-5/31): Text data module

  • Week 10 (6/3-6/7): TBD

  • Final Projects (6/14): Final project poster session

Computational Environment

Github (optional but recommended)

Jupyterhub

  • Course Jupyter Hub

  • For PSTAT 134/234 coursework only

  • Your work can be inspected by teaching staff at any time

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Statistical Data Science

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