Data Science and Analytics for Sustainable Development

This article discusses the role of data science and analytics in achieving Sustainable Development Goals (SDGs) by enabling better resource planning, targeted intervention, and impact tracking. It highlights how data-driven approaches improve decision-making across sectors such as health, education, agriculture, and energy. The piece outlines the importance of interdisciplinary collaboration, technological adoption, and institutional capacity-building to scale outcomes. By examining real-world applications, it stresses the need for inclusive, context-sensitive, and evidence-based solutions to address complex developmental challenges.