This repository contains the material used for a three-session Python Data Analysis training at Steer, originally delivered in April 2023.
Recordings are available here (enrollment required).
This repository includes an interactive Jupyter notebook for each session, containing example code and descriptive text. The notebooks also include exercises for participants to complete on their own. For convenience, the repository also includes (non-interactive) HTML and PDF versions of each notebook, along with support files. Note that exercise code should be removed before distributing to participants.
So that participants were not required to have Jupyter Notebook installed in advance, we hosted a JupyterHub server on an Amazon Web Services EC2 instance using The Littlest JupyterHub to which participants could directly connect. This allowed each participant to have a unique copy of each notebook that they could modify and for common data files to easily be shared across participants. For more details on this setup, please contact Andrew Desautels.
For general information on the course, please contact Kashfia Nehrin or Andrew Desautels.