Data Science Lab Training
Community-Based Training
Training at the Data Science Lab consists of more than courses and workshops. We learn best when we learn with others, so we provide social opportunities to learn together. There are opportunities to Learn Skills through courses, to Experience skills in Learning Communities, and to practice our skills together with codeathons.
Please note that all courses, workshops, and learning community sessions adhere to the DaSL Training Participation Guidelines.
Learn Together in Workshops and Courses
Learn Data Science skills together in Workshops (single session) or in Courses (multiple sessions)
Experience Skills in Learning Communities
Learn from others in our Learning Community sessions. Understand applications of your new skills and knowledge.
Practice Skills Together
Practice your new skills together on your data in co-working sessions, Code-a-thons, or Doc-a-thons. Apply what you learn and go farther.
Self Directed Training
We also offer self directed material in the form of guides and documentation for computational and data oriented topics in the SciWiki.
Self Directed Courses
Check out our list of self-directed courses and guides, including opportunities to get certification in Data Science Skills.
SciWiki
Expand your knowledge with SciWiki, which documents information and guidance about how to connect to Fred Hutch computational resources, including storage and the FH cluster.
New! Data Snacks
This is a collection of cool data tricks with R and Python. No installation needed to try them out. You can immediately start experimenting with the new tips and tricks.
Data House Calls
Data House Calls
The Data Science Lab Data House Calls are a chance to leverage DaSL staff’s expertise to help you get where you want to go with your data science skills, data management plans and execution, computing needs and beyond.