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Statistics is the discipline focused on forecasting and interpreting data. Its mathematical basis stems from probability theory, utilized for drawing conclusions and making choices amid uncertainty. Real-world statistical work employs diverse computational approaches, data visualization and exploration techniques, methods for identifying patterns and relationships in information, and a framework for inquiry that measures doubt. Data science builds upon statistics to cover the complete data journey, from defining and collecting information to processing and examining it, ultimately applying insights to guide choices and shape policies. This area represents an evolution of statistical methods, integrating progress in artificial intelligence, pattern discovery, and powerful computing systems, combined with specialized knowledge from fields like social sciences, natural sciences, engineering, business, healthcare, and digital humanities.