A COMPARATIVE STUDY ON THE RELATIONSHIP BETWEEN STATISTICS AND DATA SCIENCE

Document Type : Collected Paper

Authors

• Amir Hossein Ghatari ¹
• Elham Tabrizi ²
• Ehsan Bahrami Samani ³

¹ Department of Statistics, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, IRAN

² Department of Mathematics, Faculty of Mathematical Science and Computer, Kharazmi University, Tehran, Iran

³ Department of Statistics, Faculty of Mathematical Science, Shahid Beheshti University, Tehran,

10.22067/tmsj.2024.86497.1053

Abstract

The study of the relation between data science as an emergent phenomenon in 21st century and statistics, an original and applicable science, is one the most challenged topics by different researchers. Data science is dependent to some theoretical basics such as linear models, clustering and etc, which are from statistics. Some of the scientists believe that data science is begotten from statistics and consider it as statistics’ offspring. Some others consider data science as a branch of statistics using modern computational techniques. Also, there is an uncommon idea that considers data science as a separated scientific field from statistics. In this paper, we recall theoretical basics of data science and bring up comments and interpretations of some well-known scientists about the fact that data science is not separate from statistics. Finally, we consider Statistics+ as another name of data science. Additionally, this study aims to explore the practical implications of this relatio ship by examining how advancements in data science continue to reshape and augment statistical methodologies. Through a comprehensive review of contemporary applications, we aim to illustrate the dynamic interplay between data science and statistics, illuminating their evolving synergy. 

Keywords

• Statistics
• Statistics+
• Data Science
• Machine Learning

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