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Tutorials

This repository is a set of tutorials for Hands-On Data Science. It is used to run along with the UC San Diego course COGS108 - Data Science in Practice.

Approach / Background

These tutorials are designed to be a minimal introduction to what you need to know to get working with data science, and starting with projects. They cover the hands-on, coding components of the material. Conceptual and background material is covered in the Lectures. Practice with these ideas is done through the Assignments as well as materials for doing Projects.

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.

Requirements

The code and materials in this repository are created with Jupyter notebooks and require the anaconda distribution. Any other dependencies, for specific Tutorials, are specifically addressed in the notebooks.

Development

This repository is under active development, and is developed and maintained by TomDonoghue.

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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Tutorial notebooks for hands-on data science, following along with the course topics.

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  • Jupyter Notebook 100.0%