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The Evolution of Data Science: Trends, Challenges, and Future Directions

K.Lakshmi

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Paper Contents

Abstract

In the twenty-first century, data science has changed dramatically, going from a specialized profession to becoming essential to many other businesses. This article examines the ever-changing field of data science, emphasizing its development, present difficulties as well as possible future paths. Its enormous use across a variety of fields is the result of its evolution, which includes developments in technology, methodology, and applications. Discussions of issues including data protection, ethical issues, and the demand for qualified specialists highlight the difficulties the sector faces. The article foresees future paths for data science, such as the incorporation of artificial intelligence, the moral use of data, and the development of innovative methods for managing large databases. Understanding data science's development, resolving issues, and predicting future trends are essential for scholars, practitioners, and policymakers alike, since data science continues to play a significant role in forming the modern world.

Copyright

Copyright © 2025 K.Lakshmi. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50600080158
ISSN: 2321-9653
Publisher: ijprems
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