Instructor
Python for Environmental Data Science
Master of Environmental Data Science (MEDS)
Summer 2026
Cartoon by XKCD
Course Description
Programming skills are critical when working with, understanding, analyzing, and gleaning insights from environmental data. In the intensive EDS 217 course, students will develop fundamental skills in Python programming, data manipulation, and data visualization, specifically tailored for environmental data science applications.
The goal of EDS 217 (Python for Environmental Data Science) is to equip incoming MEDS students with the programming methods, skills, notation, and language commonly used in the python data science stack, which will be essential for their python-based data science courses and projects in the program as well as in their data science careers. By the end of the course, students should be able to:
Manipulate and analyze data using libraries like pandas and NumPy
Visualize data using Matplotlib and Seaborn
Write, interpret, and debug Python scripts
Implement basic algorithms for data processing
Utilize logical operations, control flow, and functions in programming
Collaborate with peers to solve group programming tasks, and communicate the process and results to the rest of the class
Syncing your classwork to Github
Here are some directions for syncing your classwork with a GitHub repository
