Getting Started with R
A self-paced introduction to R and RStudio for researchers coming from Stata or Excel
About this course
Getting Started with R is a self-paced introduction to R and RStudio for people with no prior programming experience. It is designed for learners moving from spreadsheet-based tools such as Excel or STATA and takes roughly 6-9 hours to complete.
Learning objectives
- Install R and RStudio and navigate the RStudio IDE
- Manage packages and understand basic R syntax
- Work with variables, vectors and core operations
- Use R Markdown for reproducible documentation
- Understand data structures: vectors, data frames, lists
- Import, visualise and troubleshoot real data
Who it is for
Beginners with no programming background who have a computer with a stable internet connection and basic computer literacy.
Curriculum
- Module 1, Getting Started
- R and RStudio installation and basic syntax
- Module 2, Working with Data
- Data structures and package management
- Module 3, Data in Action
- Real-world data import, exploration and visualisation
3 modules, 9 sessions in total.
Format & materials
Each session follows the same structure: an overview, explanatory content with code examples, “try it yourself” prompts, numbered exercises with reveal-able solutions, and self-check questions. Learners type code themselves rather than copying. A glossary and troubleshooting guide are included.
Course site: https://sufyansuleman.github.io/R_basic/
Run this course for your group
I teach Getting Started with R on demand for research groups, departments and companies, on site or online, adapted to your data and level.