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concepts:data_science [2021/06/09 22:30] – created - external edit 127.0.0.1concepts:data_science [2023/09/02 18:41] (current) – removed adminguide
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-DEFINITION 
-Data Science 
-  * • “As its core, data science involves using automated methods to analyze 
-  * massive amounts of data and to extract knowledge from them. 
-  * • With such automated methods turning up everywhere from genomics to 
-  * high-energy physics, data science is helping to create new branches of 
-  * science, and influencing areas of social science and the humanities. 
-  * • The trend is expected to accelerate in the coming years as data from 
-  * mobile sensors, sophisticated instruments, the web, and more, grows. 
-  * • In academic research, we will see an increasingly large number of 
-  * traditional disciplines spawning new sub-disciplines with the adjective 
-  * "computational" or “quantitative” in front of them. 
-  * • In industry, we will see data science transforming everything from 
-  * healthcare to media” (NYU, 2016, para. 2) 
  
-Retrieved from http://datascience.nyu.edu/what-is-data-science/ 
- 
-Data Science 
-(Grus, 2015, p.2) 
-  * • The Best Questions For A First Date from dating site 
-  * OkCupid 
-  * • Global Migration Pattern and Where the fanbases of 
-  * different football teams live from Facebook 
-  * • Consumer Purchase Prediction from Target 
-  * • More Effective Government , Data Science for Social 
-  * Good, and Public Health Promotion 
-  *  
-Grus, J. (2015). Data science from Scratch. Sebastopol, CA: O’Reilly Media. 
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