Project Setup Guidance
This site provides guidance for setting up data science projects for the training we deliver, but also more generally when you begin to use python or R in your own work. We believe that the courses we deliver should teach you programming concepts, but also should set you up for using these tools for your research.
Main Steps: Regardless of the language you are using, these are the key steps you need to follow when starting training, or creating a new data science project:
To start setup immediately, click the button below:
This guide also includes:
- A Terminal Cheatsheet goes through some basics on using the terminal that you may find helpful
- Why do we do it like this? See the FAQs
There are many approaches to setting up and using R/python, but we have used our experience in teaching and using these tools to come up with a project setup that is simple and flexible enough for anyone to do reproducible research. If you have any suggestions, please feel free to make suggestion here.
See here for more resources on environment management and setting up reproducible data science projects