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Open Source Science

rstatsbootcamp-2025

https://github.com/weharris/rstatsbootcamp-2025

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 2 DOI reference(s) in README
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: weharris
  • License: mit
  • Language: HTML
  • Default Branch: main
  • Size: 49.7 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 1 year ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.md

If you cite this course, please cite it as: Harris, W. E. (2025). R Stats Bootcamp: A Self-Paced Course for Learning R Programming and Statistical Analysis. https://doi.org/10.5281/zenodo.15695137

R Stats Bootcamp

A self-paced course for learning R programming, statistical analysis, and reproducible research practices.

What You'll Learn

  • Module 1: R scripting and RStudio interface for beginners
  • Module 2: Simple data analysis with R
  • Module 3: Reproducible code, R Markdown, and GitHub

Quick Start

  1. Install R & RStudio (see Module 1 for setup instructions)
  2. Start with Module 1 and work through sequentially
  3. Follow the course structure to build your skills progressively

Who This Is For

Designed for research students and staff interested in using the R Programming language to analyze data. Accessible to anyone new to R programming and statistics.

Prerequisites

  • No prior programming experience required
  • Computer with internet access
  • Willingness to learn through hands-on practice

Learning Approach

  • Self-paced with built-in assessments
  • Practical focus - learning by doing, not reference material
  • Sequential design - each module builds on the previous

License

MIT License - see LICENSE for details

Get started today: Course Website

Owner

  • Login: weharris
  • Kind: user
  • Location: American werewolf in Shropshire, UK

Statistics and data science with a little bit of ecology, genetics and teaching.

GitHub Events

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Last Year
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