• Essential R Skills for Intermediate Users, taught by Andrew Miles, May 6-8. This hands-on course will help you to write cleaner, more effective code and enhance your research skills, allowing you to work more independently and flexibly in R.
• Advanced Machine Learning and Applied AI Workflows, taught by Bruce Desmarais, May 13-15. Designed for those with a basic foundation in machine learning, this course helps you deepen your ML skills while building rigorous, end-to-end AI workflows for applied research and decision-making.
• R for SAS Users, taught by Melinda Higgins, May 28-29. Go beyond simply translating SAS code; develop a working understanding of the R language, its open-source ecosystem, and key differences between SAS and R.
• Interpreting and Communicating Statistical Results with R, taught by Vincent Arel-Bundock, May 28-29. Tackle the challenges of understanding and conveying complex statistical results using real-world scenarios in this hands-on seminar. Learn to interpret a wide range of statistical models in R using an easy, consistent, and flexible approach. Preview the first hour on YouTube!

All seminars are livestreamed via Zoom, with full recordings available for asynchronous viewing.