# AI News, Beginner&#039;s guide to the history of data science

## Beginner&#039;s guide to the history of data science

But as I have watched mathematical statistics evolve, I have had cause to wonder and to doubt…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.” 1974.

Naur offers his own definition of the term: “The science of dealing with data, once they have been established, while the relation of the data to what they represent is delegated to other fields and sciences.” It would take some time for the ideas to really catch on, but the general push toward data science started to pop up more and more often after his paper.

Their mission was to “link traditional statistical methodology, modern computer technology, and the knowledge of domain experts in order to convert data into information and knowledge.” In this year, Tukey also published a second major work: “Exploratory Data Analysis.” Here, he argues that emphasis should be placed on using data to suggest hypotheses for testing, and that exploratory data analysis should work side-by-side with confirmatory data analysis.

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