A Historical Perspective: a post about the history of data science
Photo by John Schnobrich on Unsplash
If you are interested in data science, chances are you have found yourself asking the question — how did data science come to be? This is a topic that has plagued the minds of many data scientists, but one that we are going to answer today!
In this post, we will take a look back through the pages of time, starting from the early days of statistics. We’ll take a look at how statistics evolved as a discipline, and how it was transformed into what we now know as data science today. And when we’re done, you’ll be able to explain to your friends
How Data Science Came to Be
Data science is the science of extracting knowledge or insights from data in various forms to make decisions based on data. It is a fairly new term in the world of data and analytics, though the practice of using data to arrive at conclusions has been in practice since the dawn of the industrial revolution. The term data science is used to describe the work done by individuals or teams who extract knowledge or insights from data in various forms and formats, whether structured or unstructured, to devise or enhance business processes or to discover new knowledge.
Data science has exploded over the last decade and has become a major part of companies’ data strategy. But where did it come from and how did it evolve into such a big deal? The beginning of data science has been traced back to the early 1950s when the discipline was referred to as data systematics. The term data science first appeared in the 1960s and was used to refer to the use of computers in scientific research. The term data science was first used in its current sense in a 1994 article by G. W. Furnas, editor of the Journal of Intelligent Information Systems. The term was popularized by editor of the popular scientific journal, Nature , in 1999, who called for an academic discipline that was distinct from information science, which deals with the storage and management of data. He argued that the new field would study “the formal manipulation of data to extract meaning.”
The Birth of Data Science
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Source: https://medium.datadriveninvestor.com/how-data-science-came-to-be-758600022c38