Data Science: Use with (Great) Care
DOI:
https://doi.org/10.17821/srels/2021/v58i3/163889Keywords:
Data ScienceAbstract
Data Science has become the buzz word in recent years. While it has the potential for solving challenging problems, Data Science is subject to methodological abuse. This note highlights the good, bad, and ugly of Data science. A few illustrations are used as examples to highlight how Data could be abused.Downloads
References
Leek, J. (2013). “The key word in "Data Science" is not Data, it is Science”. simplystatistics.org/2013/12/12/the-keyword- in-data-science-is-not-data-it-is-science/
Boulton, C. (2020). “5 data analytics success stories: An inside look” www.cio.com/article/3221621/6-data-analytics- success-stories-an-inside-look.html
Analytics for Business Success – Effective Strategies & Indian Success Stories (2021). www.bloombergquint.com/ labs/intel/transform-toscale/analytics_for_business_success. html
Hebbar, P. (2019). Top 8 FAQs About Data Scientists In India: Answered www.analyticsindiamag.com/top-8-faqsabout- data-scientistsin-india-answered/
Marcus, G and Davis, E. Eight (No, Nine!) Problems With Big Data, New York Times, April 7, 2014.
Bergstrom, C. and West, J. Calling Bullshit (Data Reasoning in a Digital World) www.callingbullshit.org/
O’Neil, C. Weapons of Math Destruction, Crown Books, 2016. weaponsofmathdestructionbook.com/
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.