About the Bootcamp
Empowering Research Through Data Science
What is the R Stats Bootcamp?
The R Stats Bootcamp is a comprehensive, self-paced course designed for researchers and students who want to develop practical data science skills. Our mission is to provide accessible, high-quality training in R programming, statistical analysis, and reproducible research practices.
We believe that data science should be: - Accessible to researchers at all levels - Practical with a focus on real-world applications - Reproducible to advance scientific integrity - Collaborative to encourage knowledge sharing - Free to promote open science
Who This Course Is For
This bootcamp is ideal for:
- Research students beginning their data analysis journey
- Academic staff looking to update their quantitative skills
- Professionals transitioning to data-driven roles
- Self-learners interested in R programming and statistics
No prior programming experience is required—we’ll guide you from the basics to more advanced concepts at a comfortable pace.
What You’ll Learn
Module 1: R Foundations
Master the fundamentals of R programming and the RStudio environment. Learn to manipulate data, create functions, and work with different data structures.
Module 2: Statistical Analysis
Apply your R skills to statistical analysis. Explore data visualization, hypothesis testing, correlation, regression, and more.
Module 3: Reproducible Research
Discover tools and practices for reproducible science. Learn R Markdown for dynamic documents, Git for version control, and collaborative workflows.
Learning Approach
The R Stats Bootcamp follows a learning-by-doing approach:
- Self-paced lessons that fit your schedule
- Hands-on exercises to reinforce concepts
- Real-world examples relevant to research contexts
- Progressive difficulty that builds on previous knowledge
- Multiple learning modalities to accommodate different learning styles
Course Development
This bootcamp is continuously improved based on:
- Current best practices in data science education
- Feedback from learners and instructors
- Advances in R packages and statistical methods
- Research on effective teaching and learning
Get Support
We offer several ways to get help during your learning journey:
- Discord coming soon
- Explore additional resources linked throughout the course