Case Study: Harvard University achieves faster Python readiness and a more equal playing field with DataCamp

How Harvard gets their Students off on the Right Foot

Harvard University’s Master of Science in Computational Science and Engineering faces incoming students with mixed programming backgrounds, forcing instructors to spend valuable lecture time on basic Python. To address this, Harvard University uses DataCamp’s interactive courses and group features to get students caught up on Python for Data Science before the semester begins.

DataCamp delivers self‑paced, high‑quality content and an easy-to-use interface, with group management and reporting tools so instructors can assign prep work and track progress. By assigning DataCamp courses pre‑semester, Harvard University saved lecture time, created a more equal playing field among students, and ensured learners arrived more prepared—reducing the need for remedial instruction and enabling instructors to focus on core course material.

Harvard University

Sheila G. Coveney

Program Manager