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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM3528
Volume:
4 |
4 |
Apr 2020
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Data analysis has become the cornerstone of advancements in Artificial Intelligence (AI) and Data Science. The ability to extract meaningful insights from large, complex datasets is crucial for both scientific discovery and practical applications across industries. This review paper discusses key aspects of data analysis within the AI and Data Science domains, covering the foundational principles, methodologies, tools, and emerging trends. It also explores the challenges and future directions for research and development in data analysis
KEYWORDS
Publication Date
1/17/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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