STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Computer Technology & Applications

A Study on Data Science Analytics: Addressing Challenges, Exploring Open Research Issues: A Literature Centric Approach

  1. Sohan Lal Gupta
  2. Vikram Khandelwal
  3. Nimish Arvind
  4. Rajesh Kumar

Abstract

The rapid growth of data science and analytics has revolutionized industries across the globe. This paper presents a comprehensive examination of the challenges encountered in the field of data science analytics and investigates unresolved research issues through a literature-centric approach. By analyzing recent research papers, articles, and industry reports, this study offers insights into the evolving landscape of data science and the critical challenges that data scientists face. Additionally, it explores the open research questions that are poised to shape the future of data science analytics.

Keywords

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