This repository is a collection of resources for hands-on practice of data science fundamentals. I will do my best to credit the sources of content or inspiration for the content. The primary source for most of the data and the notebook content is here, at Skipper Seabold's 2018 PyCon GitHub repository. There is also an accompanying video of his presentation on YouTube
The primary focus will be creating a jupyter notebook environment to allow for the application of Python and possibly R or other scripting languages and tools to manipulate, describe and visualize data.
Mybinder.org allows you to spin up the Jupyterlab environment and run the notebooks in the repository. Open this repository at mybinder.org
Alternatively you could clone this to your computer and host the notebooks locally, perhaps using Anaconda