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This is a custom curriculum developed by the University of Michigan Carpentries instance. While it is based on The Carpentries curriculum and teaching practices, it is not officially overseen by The Carpentries organization. We welcome any feedback or questions to us through GitHub.
The curriculum is developed for complete beginners interested in learning reproducible data science techniques and integrates instruction of R for data cleaning, analysis, and visualization; the Unix shell; and git and GitHub. For more details, please see [Introduction to the Workshop]({{ page.root }}/00-intro).
If you are interested in contributing to the curriculum, please read over The Carpentries Curriculum Development Handbook and [our contribution guidelines][contributing]. If you would like to set up your machine to preview changes locally, please see [the setup instructions]({{ page.root }}{% link setup.md %}).
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