Data Science for Social Good

Data Science for Social Good refers to the application of data analysis and statistical methods to address societal challenges, such as poverty, health care, education, and the environment. By using large datasets, data scientists identify trends, measure outcomes, and inform policies that can improve lives. Organizations, including nonprofits and governments, collaborate with data experts to better understand issues and develop effective solutions. Ultimately, this approach harnesses the power of data to create positive social impact and drive progress in communities around the world.