Many people new to data science might believe that this field is just about R, Python, Hadoop, SQL, and traditional machine learning techniques or statistical modeling. Below you will find fundamental articles that show how modern, broad and deep the field is. Some data scientists are actually doing none of the above. In my case, I don't even code, but instead, I make various applications talk to each other, in a machine-to-machine communication framework. It is true though that most data scientists use R, Python and Hadoop-related systems.
The article on deep data science (see below) shows that data science is also about automating the tasks that many people (calling themselves data scientists) do routinely. And it can be done using very little mathematical / traditional statistical science. I like to put it this way: data science is about automating data science, and much of what I do consists of designing systems that automate what I do.
Many of these articles below are a few years old, but their content is even more relevant today than ever before. These articles should help the beginner have a better idea about what data science is. Some are technical, but most can be understood by the layman.
24 Articles About Core Data Science
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