This repo contains a series of Learning Units. A Learning Unit is one hour of material meant to convey a few related concepts in the form of

• a short (<15 min) presentation
• some example notebooks
• some open-ended practice exercises

During the academy, we will be going through these one-by-one listening to the instructors give their short presentations, checking out the examples, and doing the practice exercises.

Inside the units directory, there are 16 directories, each of them containing a Learning Unit of roughly the following format:

├── README.md
├── data
├── examples
└── practice

• The README.md is meant to be viewed in a browser on github.com and contains.
  • The purpose of the unit.
  • The concepts being presented.
  • A link to the presentation.
  • The practice assignment.
• The data directory contains the datasets that the instructors have chosen for the examples and practice exerciess.
• A examples directory that contains notebooks that have a bunch of code already filled in. You don't HAVE to write any code here but you should play around with the stuff that's already written to get a feel for the code.
• A practice directory that contains an empty notebook. This is where you should implement your solutions to the assignment presented in the README.

1. Do the setup.
2. Clone this repo.
   • Just do whatever you did to clone the setup repo except for this one instead.
3. Open a jupyter notebook and navigate to the units directory of this repo
   • If you used anaconda, just navigate to where you cloned this repo
   • If you're using Docker, run run-jupyter-notebook.sh