An in-depth analysis leveraging World Bank's educational data to strategize ACADEMY's global expansion.
Leveraging World Bank's educational data to identify potential global markets for ACADEMY's online offerings. A data-driven approach to guide our international expansion.
- Introduction
- Technology Used
- Data Source
- Key Findings
- Visualizations
- Country Segmentation
- How to Launch the Jupyter Notebook
- Support
- Contributing
- Author
- License
In the rapidly evolving landscape of online education, ACADEMY, a burgeoning EdTech start-up, aims to tap into markets with a robust educational framework and potential clientele. This analysis provides a clear, data-driven narrative to aid ACADEMY's decision-makers in charting the company's international trajectory.
- Python
- Jupyter Notebook
- Libraries: Pandas, Matplotlib, Seaborn, Scikit-learn
The dataset is sourced from the "EdStats All Indicator Query" of the World Bank, boasting a comprehensive collection of over 4,000 international indicators. These indicators span a range of metrics, from access to education and graduation rates to insights about educators and educational expenditures.
- Download the datas files and extract all files into a folder named 'data' at the root.
- Explore the data on the World Bank website
- Top 5 Countries for Expansion: Liechtenstein, United Kingdom, New Zealand, Luxembourg, and China.
- [More findings can be added here]
Visual insights derived from the data can be found here.
Countries such as Liechtenstein, United Kingdom, New Zealand, Luxembourg, and China fall within a distinct cluster, suggesting they share similar performance or development levels. More on segmentation.
- Ensure you have Python and Jupyter Notebook installed.
- Clone the repo:
git clone https://github.com/MasterCodeDevelop/academy.git - Navigate to the directory:
cd academy - Install required libraries:
pip install -r requirements.txt - Launch Jupyter:
jupyter notebook - Open the desired notebook from the dashboard.
A simple star to this project repo is enough to keep me motivated on this project for days. If you find yourself very excited with this project, let me know.
If you have any questions, feel free to reach out to me on LinkedIn
Contributions, issues, and feature requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Mohamed Ali EL HAMECH
- π GitHub: @MasterCodeDevelop
- π§ E-mail: [email protected]
- π’ Affiliation: ACADEMY #OpenClassRooms
This project is licensed under the MIT License - see the LICENSE.txt file for details.