A Comparative Analysis of Classical Statistics and Data Science in Academic and Scientific Research

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Eğitim ve Toplum Araştırmaları Dergisi
Cilt: 12 Sayı: 2
A Comparative Analysis of Classical Statistics and Data Science in Academic and Scientific Research

A Comparative Analysis of Classical Statistics and Data Science in Academic and Scientific Research

Pages : 263-289

View : 192 | Download : 203

Publication Date : 2025-12-31

Article Type : Review Paper

Abstract :This review explores the evolving relationship between classical statistics and data science in academic and scientific research. Classical statistics offers a rigorous foundation for hypothesis testing, inferential analysis, and structured data interpretation. In contrast, data science incorporates computational tools, such as machine learning and big data analytics, to handle complex, high-volume, and unstructured data. The paper highlights key methodological differences and areas of overlap between the two fields, particularly in relation to model interpretation, predictive accuracy, and decision-making. It proposes a hybrid analytical approach that combines the theoretical depth of classical statistics with the scalability and flexibility of data science. This integrated perspective enhances the reliability, applicability, and efficiency of data analysis across various research settings. By synthesizing relevant literature and practices, the article contributes to ongoing discussions on methodological integration and offers practical insights for researchers and policymakers addressing contemporary data challenges.
Keywords : Klasik İstatistik, Veri Bilimi, Veri Analizi

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