Here is my most concise attempt: ” Data science is the discipline of making data useful .” Feel free to run away now, or keep reading to explore your three sub-fields.
- Machine learning
- Data Mining / Analytics
A term that nobody really defined. If we explore the history of the birth of the term data science, we will see two themes that come together.
Let me paraphrase for your entertainment:Big Data, which means more work for computers.Statisticians who can put their feet on the ice and head in the oven, and say that on average they are fine.And that’s how data science is born. The first time I heard his definition was “a data scientist is a statistician who can program.” I’ll give you my opinion on this definition in a moment , but first, why do not we examine what data science itself is?
Definition of Twitter circa 2014. “A data scientist is a statistician who lives in San Francisco. Data Science is statistics done on a Mac. A data scientist is someone who is better at statistics than any systems engineer, and better at systems engineering than any statistician.”
Data Science for Begginers
I love it when I read the 2003 Journal of Data Science , where they make a “very precise” definition by saying: “By ‘Data Science’ we want to refer to almost everything that has something to do with the data . ” Seriously? all? It is difficult for me to think of something that has nothing to do with data. (I better stop thinking before my head starts to hurt.)