How the gap between data science and statistics grew over time

Very interesting article published by the American Statistical Association. The picture below compares computer science with statistical science - before (I guess the early nineties) versus now. The column labeled CS3 (CS for Computer Science) represents modern computer science, actually this is data science. What's left in statistics is for the reader to guess, I suppose.

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Comment by Prof. Dr. Diego Kuonen on May 21, 2014 at 7:07pm: Data science - a rebranding of data mining - and statistics are the two main approaches of `learning from data'. They are complementary and should proceed side by side - in order to enable proper data-driven decision making.

See also my (updated) presentation

`A Statistician's View on Big Data and Data Science'

from May 13, 2014, at the `SMi Big Data in Pharma' conference in London, United Kingdom, is available at

http://www.slideshare.net/kuonen/big-datadatascience-may2014

and/or

http://www.statoo.com/BigDataDataScience/.

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How the gap between data science and statistics grew over time

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