Once a year, I teach a course to aspiring data scientists. At the beginning of the first class, I ask my students what they hope to learn. Often, their answers are “analyze data” or “build good models.” Compare those responses to the workshops I run with practicing data scientists who speak in different terms when discussing what they do. They call it “solving problems” — a step in the right direction — but even that is too narrow.