During Noé Program, participants get to learn how to analyze data thanks to python, jupyter notebook and libraries like pandas or seaborn. There are 4 exercises which are based on datasets found on Kaggle
There are 4 notebooks in this repository :
- The first one is based on a dataset provided by Uber and it deals with trips from cities and from airport. In the notebook we run an analysis on Supply and Demand Gaps
- The second one is based on a Netflix dataset. This dataset consists of tv shows and movies available on Netflix as of 2019. The dataset is collected from Flixable which is a third-party Netflix search engine.
- The third one is based on a Spotify dataset. The dataset contains more than 160,000 songs collected from Spotify Web API. Date range is from 1921 to 2020
- The last one is based on a Kickstarter dataset. This dataset aims at understanding what kind of projects are very succesful at raising money.