https://github.com/openintrostat/ims-tutorials
Interactive tutorials developed with the learnr package supporting the textbook OpenIntro::Introduction to Modern Statistics.
https://github.com/openintrostat/ims-tutorials
data-science educational learnr open-educational-resources open-source rstats statistics
Last synced: 4 months ago
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Interactive tutorials developed with the learnr package supporting the textbook OpenIntro::Introduction to Modern Statistics.
- Host: GitHub
- URL: https://github.com/openintrostat/ims-tutorials
- Owner: OpenIntroStat
- License: other
- Created: 2020-08-25T10:44:14.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2025-05-25T18:04:51.000Z (about 1 year ago)
- Last Synced: 2025-05-25T18:39:44.919Z (about 1 year ago)
- Topics: data-science, educational, learnr, open-educational-resources, open-source, rstats, statistics
- Language: HTML
- Homepage: https://openintrostat.github.io/ims-tutorials/
- Size: 67.6 MB
- Stars: 39
- Watchers: 8
- Forks: 29
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# OpenIntro::Introduction to Modern Statistics Tutorials
Learnr tutorials supporting [OpenIntro::Introduction to Modern Statistics](https://openintro-ims.netlify.app/).
Each tutorial corresponds to one part of the book and is comprised of multiple lessons for a total of 35 lessons that cover the entire content of the book.
- [Tutorial 1. Introduction to data](01-data/)
- [Tutorial 2. Exploratory data analysis](02-explore/)
- [Tutorial 3. Regression modeling](03-model/)
- [Tutorial 4. Foundations of inference](04-foundations/)
- [Tutorial 5. Statistical inference](05-infer/)
- [Tutorial 6. Inferential modeling](06-model-infer/)
All tutorial content has been developed by [Mine Çetinkaya-Rundel](https://github.com/mine-cetinkaya-rundel), [Jo Hardin](https://github.com/hardin47), [Ben Baumer](https://github.com/beanumber), and [Andrew Bray](https://github.com/andrewpbray) and implemented in learnr with the help of [Yanina Bellini Saibene](https://github.com/yabellini), [Florencia D’Andrea](https://github.com/flor14), [Roxana Noelia Villafañe](https://github.com/data-datum), and [Allison Theobold](https://github.com/atheobold).