For the personal projects workshop, our officer and pro project mentor Connor Levenson walked us through how to get started with a personal project. Personal projects are the best way to get real-world experience with data science and those with project experience are much more highly sought after by employers.
Connor walked us through the following topics:
- Why should you have a personal/portfolio project?
- Good practices for setting up your environments
- What does a good project look like?
- Sample publication of a project
We also reviewed a project pipeline that would take us from the initial idea to the results:
- Data first approach
- Question first approach
- Assessing feasibility of the project
- Tidying the data
- Data visualization
- Model training and validation
- Sample publication of a project
Thank you to all of our members that came out this to this workshop!