We all must have read the above definition like multiple times; whether it is to satisfy others with our borrowed knowledge, or to satisfy ourselves with this statement.
But one should really focus on explaining a naive in a naive format, what actually data science is.
Data Science is nothing but thoroughly exploring data that is now-a-days all around us.
It is a digital world now. Even babies are now “bosses” in themselves. We have so many digital equipment around us, and we are so much immersed into them, that it would be no wonder to state the fact that exabytes of data is being created in an hourly basis all around the world.
It has been a human trend and approach to learn from his/her surroundings. And since, the surroundings are now filled with data, we humans thought of learning from it as well. In this way, we created a new science called Data Science.
Data Science is used to collect and refine data, extract meaning information from it, and then utilize this knowledge in various ways, particularly in predicting how to improvise a certain domain.
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information. The goal of data science is to gain insights and knowledge from any type of data — both structured and unstructured.
The above definition is from TechTerms.
That is, if you want to explore the technicality in the terminology. For laymen, who just want to get involve in the discussion with other laymen about DS, I think this much should be enough.