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Data Science: Use with (Great) Care
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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.
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- Leek, J. (2013). “The key word in "Data Science" is not Data, it is Science”. simplystatistics.org/2013/12/12/the-key-word-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-analyticssuccess-stories-an-inside-look.html
- Analytics for Business Success – Effective Strategies & Indian Success Stories (2021). www.bloombergquint.com/labs/intel/transform-to-scale/analytics_for_business_success.html
- Hebbar, P. (2019). Top 8 FAQs About Data Scientists In India: Answered www.analyticsindiamag.com/top-8-faqs-about-data-scientists-in-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/
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