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[![Site](https://img.shields.io/static/v1.svg?label=website&message=link&color=informational)](https://datascienceinpractice.github.io/)
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[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/COGS108/Tutorials/master)
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[![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/)
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[![License: CC-BY 4.0](https://img.shields.io/badge/License-CC--BY%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
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This repository is a set of tutorials for learning data science, created as part of the [Data Science in Practice](https://github.com/COGS108/Overview) class.
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This repository is a set of tutorials for learning data science, created as part of the
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[Data Science in Practice](https://github.com/COGS108/Overview) class.
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These materials are also publicly available and hosted online at [datascienceinpractice.github.io/](https://datascienceinpractice.github.io/).
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These materials are also publicly available and hosted online at
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[datascienceinpractice.github.io/](https://datascienceinpractice.github.io/).
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## Approach / Background
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These tutorials are designed to be an introduction to data science.
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The goal is to offer hands-on materials that allow for getting started with finding and analyzing data, in order to build up to working on data-science related projects.
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The goal is to offer hands-on materials that allow for getting started with finding and analyzing data,
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in order to build up to working on data-science related projects.
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These materials are in the Python programming language, and presume basic knowledge of programming and standard library Python.
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These tutorials also try to interface with the vast world of existing tutorials, materials, and documentation. They are explicitly designed to give a quick introduction to a topic of interest, and then link out to more comprehensive resources. In that sense, they are designed to be more like a yellow pages than an encyclopedia.
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These tutorials also try to interface with the vast world of existing tutorials, materials, and documentation.
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They are explicitly designed to give a quick introduction to a topic of interest, and then link out to more comprehensive resources.
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In that sense, they are designed to be more like a yellow pages than an encyclopedia.
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## Requirements
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The code and materials in this repository are created with [Jupyter notebooks](http://jupyter.org) and require the [anaconda distribution](https://www.anaconda.com/download/). Any other dependencies, for specific Tutorials, are specifically addressed in the notebooks.
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The code and materials in this repository are created with
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[Jupyter notebooks](http://jupyter.org) and require the
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[anaconda distribution](https://www.anaconda.com/download/).
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Any other dependencies, for specific Tutorials, are specifically addressed in the notebooks.
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## Development
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This repository is under active development, and is primarily developed and maintained by [TomDonoghue](https://github.com/TomDonoghue/), as well as by the COGS108 [staff](https://github.com/COGS108/Overview/blob/master/CONTRIBUTORS.md).
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This repository is developed and maintained by
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[TomDonoghue](https://github.com/TomDonoghue/),
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as well as by the COGS108
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[staff](https://github.com/COGS108/Overview/blob/master/CONTRIBUTORS.md).
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Contributions to this resource are welcome and encouraged! If you have suggestions for new links or materials, and/or fixes for any issues you spot, you are welcome and invited to open Issues, and/or submit a Pull Request.
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Contributions to this resource are welcome and encouraged!
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If you have suggestions for new links or materials, and/or fixes for any issues you spot,
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you are welcome and invited to open Issues, and/or submit a Pull Request.
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## License
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These materials are made freely available, and are licensed under a [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.
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These materials are made freely available, and are licensed under a [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.

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