Data science methodology is a field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It analyzes data or tests data-driven hypotheses to produce conclusions that support decision-making. The key aspects of data science methodology include data collection, data preparation, algorithm selection, model building, evaluation and deployment.