Data science – a universally recognizable term that is in desperate need of dissemination
Data Science is a term that escapes any single complete definition, which makes it difficult to use, especially if the goal is to use it correctly. Most articles and publications use the term freely, with the assumption that it is universally understood. However, data science – its methods, goals, and applications – evolve with time and technology. Data science 25 years ago referred to gathering and cleaning datasets then applying statistical methods to that data. In 2018, data science has grown to a field that encompasses data analysis, predictive analytics, data mining, business intelligence, machine learning, and so much more.
In fact, because no one definition fits the bill seamlessly, it is up to those who do data science to define it...
Read more here: Defining Data Science: The What, Where and How of Data Science.
