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title: "Course README"
---

# Applied Data Science (R)

Applied Data Science (R) is part of the UoN Digital Skills programme. It provides a practical route into R programming for research and data analysis.

## What This Course Contains

This course section of the site contains:

- lesson pages for the Applied R pathway
- learner setup and reference material
- instructor notes and optional teaching extensions
- course-level information about contribution, conduct, licensing, and learner profiles

## Course Scope

The course supports participants to:

- build confidence with core R programming concepts
- work more effectively with objects, functions, loops, and tidyverse workflows
- develop more reproducible analytical habits
- connect programming practice to real research workflows

## Adaptation and Attribution

This local course is substantially adapted from Software Carpentry's `r-novice-inflammation` lesson.

The UoN version reorganises, extends, and contextualises that material for local delivery in the Methods for Data Science pathway.

- Upstream lesson repository: <https://github.com/swcarpentry/r-novice-inflammation>
- Upstream lesson site: <https://swcarpentry.github.io/r-novice-inflammation/>

## Contributing

Contribution guidance is available in [CONTRIBUTING.qmd](CONTRIBUTING.qmd).

## Related Course Information

- [Code of Conduct](CODE_OF_CONDUCT.qmd)
- [License](LICENSE.qmd)
- [Learner Profiles](profiles/learner-profiles.qmd)
