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. These tutorials presume some knowledge of the Python programming language.
Approach / Background
These tutorials are designed to be a minimal introduction to what you need to know to get working with data science - to start to be able getting and examing data, and building up to working on data-science related projects. They cover the hands-on, coding components of the material.
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.
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.
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.