I am not going to sugarcoat this: I am a statistician, and I believe a good deal of what we call “data science” has to do with statistics and statistical thinking!

But then again, I have been around for some time, and have collaborated enough with computer scientists, mathematicians, biologists, neuroscientists, physicians, and education experts to know that while statistics is very, and I mean VERY, useful in tackling big-time data science problems, its applicability and robustness are greatly amplified when it draws strength from the approaches practiced in CS, the hard sciences, Math Ed, philosophy, and many other disciplines.