The key objective of the first year project was to get an introduction to the entire data science pipeline, i.e., from defining the project objective, through data cleaning all the way to final report. This was done through a series of four group projects:
- analysis of car accidents in Manchester (UK):
qualitative data - analysis of Netherlands' COVID-19 and weather data:
quantitative data - analysis of skin lesions:
image data - analysis of tweets:
nlp data
If you have any questions, please get in touch with me at luci@itu.dk.
To collaborate on all four projects, we used Deepnote. As a result Deepnote team reach out to me and made a short article about the experience with their platform. With that being said, if you plan to do your project based on scripts (rather than on notebook(s)), I would just use Github. Here is an example project. As a rule of thumb, if you are comfortable with programming, then perhaps scripts is the way to go, otherwise, I would start with notebook.