Intro to R: Reproducible Data Science Ready to move beyond spreadsheets? Join us for a streamlined, hands-on introduction to R using the world-renowned Software Carpentry curriculum.

How it Works: This is a "Flipped" workshop designed for busy students and researchers.

Watch: You’ll receive short, targeted video lessons to watch on your own time

Work: We meet once a week for a 90-minute Live Challenge Lab. No lecturing! We spend the entire time live-coding, solving data challenges, and troubleshooting errors together.

By the end of four weeks, you will be able to:

• Manage data projects reproducibly in RStudio.

• Clean and "tidy" messy datasets using dplyr and tidyr.

• Create publication-quality visualizations with ggplot2.

• Automate your analysis with R Markdown.

Prerequisites and Setup:

• No prior programming experience is required. Participants must have R and RStudio installed on their laptops prior to the first session. Instructions will be sent upon registration.

• Commitment: By registering, you are committing to attending all four sessions and completing the weekly pre-work videos.