• Courses
  • EDS
  • EDS 217

    • Python for Environmental Data Science . EDS 217

    This course teaches the fundamentals of programming in Python. Students learn foundational skills and concepts including data structures, programming basics, and how to clean, subset, aggregate, transform and visualize data. Course materials demonstrate the application of these techniques for environmental data analysis and problem solving.

    + Add to schedule
    Prerequisites: None required

    4

    Units

    Pass no pass

    Grading

    1, 2, 3

    Passtime

    Graduate students only

    Level Limit

    Environmental science

    College
    These majors only eds
    Instructors
    CAYLOR K K
    No info found
    Lecture
    NCEAS0100
    M T W R F
    09:00 AM - 17:00 PM
    0 / 30
    Enrollment Trends
    Past Enrollment Trends (1)
    Summer 2024 . Caylor K K
    NCEAS0100
    M T W R F
    09:00 AM - 17:00 PM
    Grading Trends (2)
    EDS 217 Caylor K K Summer 2023 Total: 0
    EDS 217 Caylor K K Summer 2022 Total: 0
    You Might Also Like
    EDS 212
    0 / 30 Enrolled
    Essential Math for Environmental Data Science
    Oliver R Y
    M T W R F
    09:00 AM - 17:00 PM
    EDS 214
    0 / 30 Enrolled
    Analytical Workflows and Scientific Reproducibility
    Czapanskiy M
    M T W R F
    09:00 AM - 17:00 PM
    100.0% A
    EDS 221
    0 / 30 Enrolled
    Scientific Programming Essentials
    Oliver R Y
    M T W R F
    09:00 AM - 17:00 PM