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https://github.com/ucbds-infra/ds-course-infra-guide

An educator's guide to creating a data science course
https://github.com/ucbds-infra/ds-course-infra-guide

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An educator's guide to creating a data science course

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# The Data Science Educator’s Guide to Technology Infrastructure

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3858478.svg)](https://doi.org/10.5281/zenodo.3858478)

This online resource serves as a a guide for others that wish to adopt a data science classroom environment, and a "snapshot" of UC Berkeley's Data 8 technology stack. For a guide on the pedagogical and curriculum considerations, there is a [separate guide here](http://data8.org/zero-to-data-8/teaching/README.html).

This guide is written with all levels of technical understanding in mind, so even if you are new to creating a computational course, this guide is for everyone!

## Contributors

This guide is maintained by the members of UC Berkeley's Data Science Education Program (DSEP), which was adopted from the contents of v1 of the [Zero to Data 8](https://github.com/data-8/zero-to-data-8) guide.

If you'd like to make a change or notice any missing content, please submit a [Github Issue](https://help.github.com/en/github/managing-your-work-on-github/creating-an-issue) to this repository!

## Versioning
The current version of this book runs on [Jupyter Book](https://github.com/executablebooks/jupyter-book) version [v0.7.0b1](https://github.com/executablebooks/jupyter-book/releases)

## License

This guide is created under the [BSD-3](https://opensource.org/licenses/BSD-3-Clause) License.