Full course description
Current Training Offerings
1 Training over 8 sessions, in-person or online:
- Week One:
- Monday, October 6 – 12:00–1:00 PM
- Wednesday, October 8 – 12:00–1:00 PM
- Week Two:
- Monday, October 13 – 12:00–1:00 PM
- Wednesday, October 15 – 12:00–1:00 PM
- Week Three:
- Monday, October 20 – 12:00–1:00 PM
- Wednesday, October 22 – 12:00–1:00 PM
- Week Four:
- Monday, October 27 – 12:00–1:00 PM
- Wednesday, October 29 – 12:00–1:00 PM
Getting Started with R
R is a widely used tool that is essential for anyone working with data, from academic research and policy analysis to business intelligence and scientific discovery. Used across fields such as psychology, economics, finance, public health, environmental science, and beyond, R gives you the power to turn complex datasets into clear, compelling insights.
What to Expect
- Interactive Learning: Follow live coding demonstrations in RStudio using the proven Software Carpentries curriculum, building skills step-by-step
- Complete Data Journey: Start with importing data files and progress through project organization, data cleaning, visualization, and professional reporting
- Real Dataset Practice: Work with authentic data to solve actual problems, using R functions and packages to analyze and visualize results
- Professional Habits: Learn to write code, organize project folders, and collaborate effectively, skills that are essential in any field
Why Participate
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Universal Relevance: R skills apply whether you're analyzing survey data for thesis research, Conducting market research for class projects, or preparing for graduate studies
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Problem-Solving Power: Transform messy, complex datasets into clear insights that answer real questions
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Reproducible Work: Master organization and documentation practices that make your analyses easy to share, review, and build upon
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Future-Ready Skills: Develop technical competencies valued in academia, government, nonprofits, and private sector roles
What You'll Gain
- Core Competencies: Data import, cleaning, visualization, and analysis using R and RStudio
- Professional Workflows: Project structure, script organization, and clean coding practices
- Visual Communication: Create compelling charts and graphics that effectively communicate your findings
- Transferable Skills: Learn analytical thinking and documentation habits that enhance any academic or professional work
This training goes beyond coding, it's about developing a systematic approach to data analysis that you can apply to research projects, internships, and future coursework. You'll leave with practical templates, professional standards, and confidence to tackle data challenges in any field you choose to pursue.
This training will be lead by Cameron Mulder, Statistical Consultant at the UO Libraries with the assistance of student instructors.
Participants who attend both days of this program and fulfill all requirements are eligible to earn the R Essentials microcredential.
This credential is perfect for showcasing your skills on LinkedIn and other platforms, offering tangible proof of your newly acquired competencies.