In this 6 week course, you will learn the fundamentals of Python, an elegant and powerful programming language commonly used for data analysis. You will learn best practices for using Python for data analysis and visualization, with some commonly used scientific and statistical libraries. The programming skills you will learn are transferable to learn more about Python independently.
Quarters Offered: Fall 2025, Winter 2026
Dates: Winter 2026: Thursdays on Jan 22, 29, Feb 5, 12, 26, March 5
Time: Thursdays Noon - 1:30pm PT
Time commitment: 6 weeks of 1.5 hour classes and 1-2 hours of practice outside class
Audience: Researchers who want to do more with their data analyses and visualizations. This course is appropriate for those who want to learn coding for the first time, or have explored programming and want to focus on fundamentals in Python.
Prerequisites: None
Followed by: Intermediate Python
Analyze Tidy datasets in the Python programming language via data wrangling, summary statistics, and visualization
Describe how the Python programming environment interprets complex expressions made out of functions, operations, and data structures in a step-by-step way.
Apply problem solving strategies to debug broken code.
This class is offered on average twice a year. Check the schedule to see when it will next be offered.
Yes, you can access the course materials on your own any time.
Unfortunately you need to complete the live class to get a badge.
The class is open to members of the Cancer Consortium including Fred Hutch, the University of Washington, and Seattle Children’s Hospital.
You can, but we recommend you don’t mix R and Python at the same time, just because it can be confusing to switch between the two.
You can sign up more than once, but be aware that there is tyspically a waitlist. We will prioritize students who have not taken the class. If there is room you are welcome to take it again.