Are you looking to learn new data or computational skills? We provide regular workshops, access to online learning resources, and guides to help you learn new skills and use our services effectively. Enhance your abilities, expand your expertise, and discover how to optimize your research at one of our Research Computing and Data Services (RCDS) sessions. Select from various 60- and 90-minute workshops available online and in-person.
Workshop RegistrationLabArchives Training Day
Join LabArchives for a training day featuring a variety of 60-minute workshops that will equip Northwestern researchers to make the most of their research notebooks.
Artificial Intelligence for Research
The Artificial Intelligence for Research (AIR) workshop series provides practical advice and examples on how to effectively and securely utilize AI in your research. From writing code to training Large Language Models (LLMs), our Data Scientists will walk you through the tools and tips you'll need.
Next Steps in Python
Next Steps in Python is a seven-part series covering intermediate Python skills, tips, and tricks guaranteed to make your coding life easier. You do not need to attend each session to participate - there is a new lesson each week. Each one-hour session meets via Zoom on Wednesdays at noon CST.
Next Steps in R
Expand your R skills beyond the basics at these one-hour remote lessons. Each week there is a new topic. Each one-hour session meets via Zoom on Tuesdays, at noon CST.
Data Management
Explore options for organizing, sharing, and moving research data in secure and efficient ways in these virtual workshops.
Data Science, Statistics, and Visualization
Learn statistical analysis methods, data visualization techniques, best practices for coding, and more.
Quest Orientation
This session is strongly recommended for new users, especially those without previous HPC experience. It builds on the information covered in our Introduction to Quest video series to help you navigate data storage options, transfer data to and from Quest, submit jobs, and identify the best way to use Quest in support of your research. Participants should have an active Quest account and bring their laptops; all Northwestern researchers can request a Quest account (allocation) if they don’t have one already.
Genomics Compute Cluster
This workshop series is designed to cover topics of interest to the research community that uses the Genomics Compute Cluster (GCC) at Northwestern. Most workshops can be attended ad hoc, but some of the content builds on itself from week-to-week, and some require attendance at the first workshop of the series, ‘Command line introduction’, so please read the description of each. These workshops will be held in-person on the Chicago campus. To participate fully, you will need to bring a laptop with you to each workshop.
Contact Us
Request customized workshops or training for your group.
Subscribe to the NUIT-RESEARCH listserv to receive announcements about upcoming workshops.
Learning Resources
Learning Resources
- Resource Guides: Research Computing and Data Services team members have curated lists of free books, videos, online courses, tutorials and other materials to help you learn R, Python, SQL, git, and more.
- O’Reilly Online Learning: Northwestern University Libraries provides online access to many popular books and other resources covering programming, software development, data visualization, machine learning, and other technology topics. Register for an account. with a Northwestern email address by clicking “Institution not listed?”; once you have an account, you can log in directly.
- LinkedIn Learning: Northwestern Human Resources provides access to courses on a wide range of technology topics, including databases, programming, and data analysis.
- Quest User Guide and Documentation: your guide to using Northwestern’s high-performance computing cluster.
Talk to a Consultant
Are you looking for help from a person instead? We can meet with you one-on-one to answer questions on using computational and data resources and methods in your research.