You started with nothing more than curiosity, and now you can:

Master the Fundamentals

• Confidently work with variables and understand how R stores and manipulates different types of data
• Convert between data types when needed, knowing exactly when and why to do so
• Use operators to perform calculations and logical operations with precision
• Create and manipulate vectors and lists to organize your data effectively
• Format strings professionally to display information clearly
• Control program flow using if statements, loops, and functions to make your code intelligent and responsive

Think Like a Programmer

• Write your own functions to solve specific problems and avoid repeating code
• Load and use powerful packages that extend R’s capabilities infinitely
• Understand and handle errors gracefully, turning frustrating bugs into learning opportunities
• Break down complex problems into manageable, solvable pieces

Analyze Data Like a Data Scientist

• Use dplyr to read, explore, and manipulate real-world datasets
• Extract specific information from large datasets with confidence
• Filter and query data with filter(), select(), and mutate() to find exactly what you’re looking for
• Create meaningful visualizations using ggplot2 that tell compelling stories with your data
• Perform statistical analyses including t-tests, ANOVA, chi-square tests, and logistic regression
• Transform raw numbers into actionable insights

This workshop has given you more than just technical skills. You’ve developed:

• Problem-solving confidence: You now approach challenges systematically, breaking them into smaller, manageable parts
• Analytical thinking: You can look at data and ask the right questions to uncover meaningful insights
• Technical literacy: You speak the language of data and can communicate with developers, analysts, and researchers
• Career readiness: Whether you’re a student planning your future or a professional looking to expand your skillset, you now have marketable, in-demand abilities

You’re no longer just a consumer of technology — you’re a creator. You can:

• Automate repetitive tasks in your studies or work
• Analyze data for research projects, business decisions, or personal interests
• Build simple applications to solve problems you encounter
• Continue learning more advanced R concepts with a solid foundation

What surprised you most about R during the duration of the workshop?

Which concept clicked for you that seemed difficult at first?

What problem do you want to solve first with your new R skills?

How do you feel about programming and data analysis now compared to when we started?

Your experience today helps us improve future workshops for students and beginners just like you were this morning. Please take 3-5 minutes to share your thoughts:

📝 Workshop Feedback Form: bit.ly/crd_rworkshop

Your honest feedback about:

• What worked well for your learning style
• Which topics you’d like explored further
• How we can make future workshops even better
• Whether you’d recommend this workshop to friends or classmates

helps us create better learning experiences for everyone.

1. Practice What You’ve Learned: Revisit today’s exercises and try variations
2. Set Up Your Environment: Ensure R and RStudio are installed on your personal computer
3. Find a Small Project: Think of a simple problem you can solve with your new skills

1. Join the Community:

   • Follow R communities on social media (e.g., #rstats on X/Twitter)
   • Join local R meetups or online forums like RStudio Community
   • Connect with other beginners for mutual support

2. Expand Your Toolkit:

   • Learn about additional dplyr and tidyr features
   • Explore additional ggplot2 themes and extensions (ggthemes, patchwork)
   • Try reading data directly from REDCap, Google Sheets, or APIs

3. Build Something Real:

   • Analyze a dataset related to your interests or field of study
   • Create a simple R Markdown report
   • Contribute to a small open-source R project

1. Specialize: Choose an area that excites you — biostatistics, epidemiology, bioinformatics, or clinical data science
2. Take Advanced Courses: Build on today’s foundation with more specialized training in R
3. Create a Portfolio: Document your projects to showcase your growing skills

• R for Data Science (2nd ed.) by Hadley Wickham — free online
• Swirl — learn R interactively inside RStudio
• RStudio Education — curated resources for all levels
• Kaggle Learn (especially for data science with R)

• “R for Data Science” by Hadley Wickham & Garrett Grolemund
• “The Art of R Programming” by Norman Matloff
• “R in Action” by Robert Kabacoff
• “Introduction to Statistical Learning with R” by James, Witten, Hastie & Tibshirani (free PDF available)

• Kaggle (for data science projects with real datasets)
• TidyTuesday (weekly community data challenge on GitHub)
• Posit Cloud (RStudio in your browser — no installation needed)

You’ve earned this recognition through your dedication, curiosity, and hard work today. Your certificate acknowledges that you have successfully completed:

• Data Analysis in R Workshop
• Skills Demonstrated: Variable manipulation, data type conversion, control structures, function creation, package usage, data analysis with dplyr, statistical testing, and data visualization with ggplot2

[Certificate will be distributed via email within 7 days]

… every expert was once a beginner. Every accomplished R programmer once struggled with their first ggplot2 layer or their first dplyr pipeline. The difference between those who succeed in programming and those who don’t isn’t talent — it’s persistence and curiosity.

You have both. You’ve proven it by dedicating your time to learning something completely new and challenging. You’ve asked questions, worked through problems, and pushed through moments of confusion to reach understanding.

Programming is a journey, not a destination. There will always be new things to learn, new challenges to tackle, and new problems to solve. But now you have the foundation and, more importantly, the confidence to continue growing.

don’t let today be the end of your R story — let it be the beginning. We believe in your potential, and we’re excited to see what you’ll build next.

Questions? Need help? Don’t hesitate to reach out:

• Workshop instructor email: jllcalorio@gmail.com
• Follow-up Q&A session: Sometime in 2026, and really, I’m just at the 8th Floor, College of Medicine Bldg.