Tools Without Theory: Why Statistics Remains the Foundation of Data Science

Modern data science platforms enable building models without statistical knowledge, but this convenience masks a critical gap: the inability to validate results or understand what they truly mean. Without statistics, practitioners become tool operators rather than decision-makers. The article argues that statistics isn't academic baggage—it's what separates doing data science from genuinely understanding it.