Traditional data analytics courses were built around content consumption — readings, examples, and assignments evaluated after submission. But with AI making answers cheap and instant, this model breaks down. In this webinar, we’ll explore how data analytics teaching is shifting toward hands-on, process-driven learning, where students work in real environments and instructors can observe how they think, not just what they submit.

You’ll learn how to design assignments that require actual work (not just outputs), incorporate AI without losing assessment signal, and structure your course so students stay engaged while building real skills. We’ll also demonstrate what it looks like in practice — from working in Jupyter/IDE environments to tracking progress, attempts, and iteration across a cohort.

Webinar Date: April 15th, 1 p.m. EST