A large dataset is not automatically a useful one. Missing values, biased samples, weak assumptions, and unclear objectives can undermine an analysis before any model is built.

Data Science scholarships can support students developing skills in statistics, programming, machine learning, visualisation, and data management. Winners trace how they cleaned information, selected methods, checked results, and translated findings into an answer that another person could use.