Rwanda Education Capstone Project
# Rwanda Education Capstone Project
## π Project Overview
This Capstone Project analyzes trends in education enrollment across Rwanda using a synthetic dataset. The goal is to identify disparities and patterns based on **gender**, **province**, **school type**, and **ownership** to support data-driven decision-making in the education sector.
## ποΈ Folder Structure
```
rwanda-education-capstone/
βββ data/
β βββ rwanda_education_dataset.csv
βββ images/
β βββ [Charts used in analysis and presentation]
βββ notebooks/
β βββ analysis.ipynb
βββ dashboard/
β βββ Rwanda_Education_Dashboard.pbix
βββ README.md
```
## π Dataset Description
- **Province**: Region of Rwanda
- **District**: Sub-region
- **School Name**
- **Year**: 2018β2022
- **Gender**: Male/Female
- **Enrollment**: Number of enrolled students
- **School Type**: Primary/Secondary
- **Ownership**: Public/Private
## π Key Visualizations
These charts are saved under `/images/` and used in Power BI and the final presentation:
- Total Enrollment by Year
- Enrollment by Gender
- Enrollment by Province
- Enrollment by School Type
- Enrollment by Ownership (Public vs Private)
## π§ͺ How to Use
### βΆοΈ Jupyter Notebook
Open `notebooks/analysis.ipynb` to view Python-based analysis and charts.
```bash
jupyter notebook notebooks/analysis.ipynb
```
### π Power BI Dashboard
Open the Power BI file from:
```
dashboard/Rwanda_Education_Dashboard.pbix
```
Use filters to explore data by:
- Province
- Year
- Gender
- School Type
## π οΈ Tools Used
- Python (pandas, matplotlib, seaborn)
- Power BI
- Jupyter Notebook
## π Credits
Prepared by [Your Name]
For Capstone Submission - 2025