Introduction

This week we'll hop into the rapidly developing industry around predictive analytics for education. For many of the students who eventually drop out, data science is showing that there might be early warning signs that the student is in trouble--we'll talk about what some of those signs are, and then dig into the meatier questions around discrimination, who owns a student's data, and correlation vs. causation. Spoiler: we have more questions than we have answers on this one. Bonus appearance from Maeby the dog, who isn't a data scientist but does like to steal food off the counter.