The latest issue of Chance contains a very timely article by Nicholas Horton, Benjamin Baumer, and Hadley Wickham. It's titled, "Setting the Stage for Data Science: Integration of Data Management Skills in Introductory and Second Courses in Statistics".
Ask yourself - "Is the traditional way that we teach introductory and second-level statistics courses really suited for preparing students for future work in modern data science?"
More specifically, do our undergraduate courses provide the data-related skills that are increasingly needed? The same question could be asked of undergraduate training in econometrics.
Horton et al. itemize five things which, in their opinion, deserve more attention in this context:
