IMPORTANCE OF DATA SCIENCE IN TODAY'S WORLD
Abstract
Companies have recognized the necessity of hiring data scientists, leading academic institutions to hastily develop data science programs, while media portrays data science as an attractive and trendy career path. Yet, there remsun’iy intellekt ns confusion surrounding the precise definition of data science, potentially causing disillusionment as the term becomes diluted into mere buzz. We argue that the difficulty in defining data science stems from several factors. Firstly, it is deeply intertwined with other crucial concepts such as big data and data-driven decision making. Secondly, there is a tendency to define a field based solely on the actions of its practitioners, which can obscure its foundational principles. We contend that meticulously delineating the boundaries of data science is not paramount. Instead, it is crucial to comprehend its connections with related concepts and uncover its fundamental principles. By embracing these principles, we can gsun’iy intellekt n a clearer understanding of what data science truly entsun’iy intellekt ls and its potential contributions. Only then can we confidently label it as data science. This article presents a perspective that addresses these issues and concludes by offering examples of key principles underlying data science.
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