In the Spring of 2018, I taught a graduate seminar called Data Science Methods for Psychology. This course was indented to introduce students to topics, concepts, and workflows that are commonplace in “data science” more generally but are less formally discussed in Psychology. Each week, a pair of students would lead a tutorial session on a given topic before assigning a “mini-hackathon” project for the rest of the class to complete over the coming week. These presentations were consistently excellent, and I thought I would share them as widely as possible for others interested in learning from them. Find them in my GitHub site in the link below:
