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The Popular Tools Of Data Sciences: Benefits, Challenges and Applications


Hafiz Burhan Ul Haq, Haroon Ur Rashid Kayani, Saba Khalil Toor, Sadia Zafar, Imran Khalid


Vol. 20  No. 5  pp. 64-75


Data Science is a new field and introduced in the United Kingdom (UK), United States of America (USA), European Union, Australia, and Canada, in 2012. The subject such as Statistics, Mathematics, Artificial Intelligence, Machine Learning and Data Mining became an integral part of Data Science. The open-source tools were rejected by International Business Machines Corporation (IBM), Microsoft (MS), Systems Applications and Products (SAP), and Oracle. But open-source tools are essential for all bigger, smaller companies and academic institutions nowadays. This paper discusses the comparative study of the various tools of Data Science. The prime focus of the comparative study is to discuss the benefits, challenges and applications of the Data Science tools for researchers/user to decide which tools are better for their need.


Data Science, Big Data, open source tools, Artificially intelligence, Machine Learning, Machine learning and data Visualisation.