Mistakes that data science students make

Mistakes that data science students make - Austin Z. Henley. This post is an informal summary of our SIGCSE'24 paper, "Investigating Student Mistakes in Introductory Data Science Programming". What kind of problems do students face in introductory data science courses? These semantic mistakes occurred when students used the incorrect function or operator, which may or may not throw a runtime error. It is likely that students are misapplying their prior knowledge of iteration, perhaps from another programming course, to data science programming. It aimed to help students not just with code correctness, but also domain knowledge, data literacy, and data science best practices. Full details can be found in our SIGCSE'24 paper: Investigating Student Mistakes in Introductory Data Science Programming.