365 Data Science is an online learning platform specializing in data science courses. In this challenge, you are tasked with analyzing an extract of a database on student engagement and identifying key areas of improvement.
Students learn by watching video content, then evaluate their knowledge by taking quizzes, practice exams, course exams, and career track exams. The exams can be attempted more than once.
To get started with the project, you will need to clone the repository :
git clone https://github.com/julienawon/365_challenge.git
Then, you will need to run the notebook notebook.ipynb.
To run the project, you will need to install Python 3.8, as well as the following packages:
- scikit-learn
- numpy
- matplotlib
- seaborn
- plotly
Once you have these installed, you can run the notebook and start exploring the data.
If you would like to contribute to the project, please fork the repository and make any necessary changes. Once you have made your changes, you can submit a pull request.
This project is free to use.
All datasets are from 365 Data Science.
If you have any questions or concerns, you can contact Julien Awon'ga via Twitter (@julienawonga) or LinkedIn (Julien Awonga).