Hui Lin
3/29/2017
For a long time I have thought I was a statistician, interested in inferences from the particular to the general. But as I have watched mathematical statistics evolve, I have had cause to wonder and to doubt. … All in all, I have come to feel that my central interest is in data analysis, which I take to include, among other things: procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data.
“This coupling of scientific discovery and practice involves the collection, management, processing, analysis, visualization, and interpretation of vast amounts of heterogeneous data associated with a diverse array of scientific, translational, and interdisciplinary applications.”
Here is a list of definitions for a “data scientist”:
“I know it when I see it. (Potter Stewart)”
There are diverse views as to what makes a science, but three constituents will be judged essential by most, viz:
(a1) intellectual content,
(a2) organization in an understandable form,
(a3) reliance upon the test of experience as the ultimate standard of validity
“Science is knowledge which we understand so well that we can teach it to a computer.”