Bolajoko34/girl-child-education-africa

Power BI dashboard analyzing gender parity and child marriage in Africa Set to Public # **Girl Child Education in Africa – Data Analytics Project** *A data-driven investigation into gender gaps, child marriage, and educational inequality across Africa.* ## Project Overview This project analyzes gender disparities in education across Sub-Saharan Africa using data on child marriage, school completion, and out-of-school rates. The aim is to identify key drivers of educational inequality and provide data-driven insights to support policy, advocacy, and intervention strategies. Business Question What factors drive gender inequality in education across Africa, and how do child marriage, poverty, and location affect girls’ access to education? ## Key Insights 30% of girls are out of school compared to 26% of boys. Child marriage rates reach 50 to 61 percent in countries such as Chad and CAR, while boys remain below 10 percent. The highest dropout risk occurs between ages 15 and 18. Children from the poorest households show 45 percent exclusion compared to 13 percent in the richest. Rural areas show lower school attendance compared to urban areas. ## Objectives Measure gender gaps in school attendance and completion Compare girls’ and boys’ education outcomes across countries Analyze the impact of child marriage on education Evaluate disparities across wealth groups and location Support policy and advocacy using data insights ## Data Sources The dataset was obtained from publicly available sources, including Kaggle. The data originates from: UNICEF (MICS). World Bank (World Development Indicators). Demographic and Health Surveys (DHS). USAID. UNESCO Institute for Statistics. ## Data Scope Filtered dataset to include only African countries. Focused analysis on gender inequality and girls’ education within the African context. Enabled relevant comparisons across countries with similar socioeconomic conditions. ## Data Quality and Preparation Identified missing values across key indicators. Replaced missing values with 0 where appropriate an …