No Analytic Bridge tem uma definição sensacional sobre o atual momento dessa disciplina:
Books, certificates and graduate degrees in data science are spreading like mushrooms after the rain.
Unfortunately, many are just a mirage: some old guys taking advantage of the new paradigm to quickly re-package some very old material (statistics, R programming) with the new label: data science.
To add to the confusion, executives, decision makers building a new team of data scientists sometimes don’t know exactly what they are looking for, ending up hiring pure tech geeks, computer scientists, or people lacking proper experience. The problem is compounded by HR who do not know better, producing job ads which always contain the same keywords: Java, Python, Map Reduce, R, NoSQL. As if a data scientist was a mix of these skills.