index.Rmd

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title: "DaSEH Instructor Guide"
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description: Guide for how to use DaSEH resources
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# About this guide {-}

## Formats

You can find an online version of this guide at: https://hutchdatascience.org/daseh_instructor_guide/

The GitHub repository is available here: https://github.com/fhdsl/daseh_instructor_guide 

<!-- PDF versions are available at Leanpub. -->

## Summary

The [Data Science for Environmental Health Short Course (DaSEH)](https://daseh.org/), developed at the [Fred Hutch Data Science Lab](https://hutchdatascience.org/), combines online learning and an in-person project-focused intensive. DaSEH is tailored for beginners and novices in R programming, offering instruction on importing, wrangling, visualizing, and analyzing data. It provides hands-on training in using R for statistical computing, a widely-used open-source tool for data analysis and visualization.

This training initiative is funded by National Institute of Environmental Health Sciences 1R25ES035590-01.

DaSEH resources can be used:

1) As a course or to add to a curriculum (either onsite or online) by engaging students to actively participate in data science education for environmental health.

2) Outside of the classroom by providing an archive of  examples code for data science best practices for self-learning. 

To help guide educators on how to most effectively use the DaSEH resources (either in or outside of the classroom), this guide documents various entry points to using the materials, examples of how to use the materials, how to modify and adapt components of the resources for the classroom, and how to contribute our resources.