World Education Data Analysis

Overview

This project analyzes global education data to uncover trends in literacy, enrollment, and unemployment, providing insights into educational disparities and policy recommendations.

Insights Derived from the Data

• Birth Rates: Niger, Chad, and Somalia have the highest birth rates, while Monaco, South Korea, and San Marino have the lowest.
• Unemployment Rates: South Africa, Lesotho, and Saint Lucia have the highest unemployment rates.
• Education Enrollment: On average, 49% of males and 51% of females worldwide are not enrolled in pre-primary, primary, secondary, or higher education.
• Reading Proficiency:
  • Students from Russia, Austria, and Kazakhstan have the highest reading proficiency at the end of primary education.
  • Students from Niger, Chad, and Madagascar have the lowest reading proficiency.
• Literacy Correlations:
  • There is a strong positive correlation between male and female literacy rates among youths aged 15-24.
  • Female primary education completion rates have a weak or inconsistent correlation with reading proficiency, indicating that primary education alone does not guarantee strong reading skills for women.

Educational Policy Recommendations

1. Increase Access to Education in High Birth Rate Countries

• Implement universal primary education in Niger, Chad, and Somalia to improve educational outcomes and raise awareness about population growth.

2. Strengthen Early Education Enrollment

• With high non-enrollment rates (49% males, 51% females), governments should introduce subsidies, awareness campaigns, and community-based programs to increase school attendance.

3. Address Unemployment through Vocational Training

• In South Africa, Lesotho, and Saint Lucia, integrating skills-based training in the school curriculum can enhance employability.

4. Improve Reading Proficiency in Low-Performing Countries

• In Niger, Chad, and Madagascar, emphasis on teacher training, improved learning materials, and literacy programs is essential to enhance reading skills.

5. Ensure Literacy Equality for Both Genders

• Since male and female literacy rates are strongly correlated, gender-inclusive policies should be implemented to bridge gaps in educational access.

6. Go Beyond Primary Education for Reading Skills

• Since primary education completion does not guarantee strong reading proficiency, reading intervention programs and continuous skill assessments should be introduced, particularly for young girls.

Technologies Used

• Python (Pandas, Matplotlib, Seaborn) for data analysis and visualization.
• Jupyter Notebook for interactive data exploration.
• Statistical Analysis for correlation and trend identification.

Conclusion

This analysis highlights critical global education challenges and provides actionable policy recommendations for governments and organizations to improve educational outcomes.