Data science uses analysis of complex data sets to identify patterns and gain insights. It combines skills from fields like math, statistics, and machine learning. Data science can help address global health challenges by providing understanding even where direct health data is limited, leveraging related data like climate or socioeconomic factors. Unlike traditional analysis focused on testing hypotheses on limited data, data science explores diverse data sets using both deductive and inductive reasoning to create knowledge that can fill gaps.