Course Materials for an Introduction to Data-Driven Chemistry

Abstract

Data-Driven Chemistry is a course aimed at undergraduate students in chemistry with no prior knowledge of programming and programmatic data analysis. It is designed as a 10-week-long course,1 introducing Python programming and its usage in data analysis typically required for a chemistry degree. The course consists of 10 units designed to be used in a blended learning environment of live coding and explanations, followed by a set of in-course tasks to be solved individually or through pair programming.