kamaldeen01/Nigeria-digital-skills-ecosystem

Systems-level analysis of digital skills in Nigeria # Nigeria-digital-skills-ecosystem Systems-level analysis of digital skills in Nigeria ## Project Overview This project presents a systems-level analysis of digital skills development in Nigeria, examining how three major training programs — 3MTT, HNG Internship, and ALX Africa — interact within a shared market and how pricing, structure, and funding model affect long-term sustainability. ## Dataset - Records: 1,000 rows - Programs: 3MTT · HNG · ALX - Period: 2022 – 2025 - Variables: 19 columns - Cost Models: Free · Subsidized · Paid ## Tasks Completed - Task 1: Data Aggregation & Cleaning - Task 2: Ecosystem Causal Loop Diagram - Task 3: Talent Supply–Demand Model - Task 4: Pricing Distortion & Behavioral Economics - Task 5: Economic Value Flow Simulation - Task 6: Ecosystem Shock Simulation - Task 7: Strategic Insights & Recommendations ## Key Findings - Oversupply Index = 3.3x across all cost models - Price effect on job placement = 0.000000 - Free programs capture zero revenue per enrollee - 38,000+ graduates lost under 80% grant withdrawal shock ## Master Insight Nigeria's digital skills ecosystem is supply-saturated but demand-deficient. The problem is not too few people being trained — it is that trained talent is not being absorbed into value-generating work. ## Tools Used Python · Pandas · NumPy · Matplotlib · Seaborn · Scikit-learn Group ID: DA3 · Data Science & Analytics Track DSHub Internship Program · Cohort A 2026