Intro to R: Data Analysis & Visualization (4-Week Flipped Series)
Intro to R: Data Analysis & Visualization (4-Week Flipped Series) In-Person / Online
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.
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Watch: You’ll receive short, targeted video lessons to watch on your own time
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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 4 weeks, you will be able to:
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Manage data projects reproducibly in RStudio.
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Clean and "tidy" messy datasets using
dplyrandtidyr. -
Create publication-quality visualizations with
ggplot2. -
Automate your analysis with R Markdown.
Prerequisites & Setup
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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.
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Commitment: By registering, you are committing to attending all 4 sessions and completing the weekly pre-work videos.
- Dates & Times:
- 1:00pm - 2:30pm, Wednesday, April 8, 2026
1:00pm - 2:30pm, Wednesday, April 15, 2026
1:00pm - 2:30pm, Wednesday, April 22, 2026
1:00pm - 2:30pm, Wednesday, April 29, 2026
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Knight 267B
- Branch:
- Knight Library
- Audience:
- Community Members Faculty and Staff Graduate Students Undergraduate Students
- Categories:
- Programming > R Workshop