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---
knit: bookdown::render_book
site: bookdown::bookdown_site
title: "Introduction to Data Science @ Duke"
author: "Duke University - Department of Statistical Science"
description: "Centralized resources for Introduction to Data Science courses offered by the Department of Statistical Science at Duke University"
date: "`r Sys.Date()`"
github-repo: dukestatsci/introds
twitter-handle: statsciduke
cover-image: introds.png
url: 'https://introds.org'
documentclass: book
link-citations: yes
---
# Welcome {.unnumbered}
<img src="introds.png" class="cover" width="240" height="240"/>Welcome to the centralized resources website for the Introduction to Data Science courses offered by the Department of Statistical Science at Duke University.
This website hosts the supplementary course videos (and the slide decks used in the videos) as well as information on access to computational resources for the courses.
In Spring 2022 we're teaching three sections of STA 199 - Introduction to Data Science and Statistical Thinking.
For information on specific sections of the courses, click on the link for your section on the left.
<br><br><br>
## License {.unnumbered}
<a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/"><img src="https://licensebuttons.net/l/by-sa/4.0/88x31.png" alt="Creative Commons License" style="border-width:0"/></a><br />This online work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International</a>.
Visit [here](https://github.com/dukestatsciintrods/blob/master/LICENSE.md) for more information about the license.
## Acknowledgements {.unnumbered}
Much of these materials have been adapted from [Data Science in a Box](https://datasciencebox.org/), by Mine Çetinkaya-Rundel under the Creative Commons Attribution Share Alike 4.0 International.