Data Ethics, Privacy & Communication

Apply ethical statistical judgment to realistic data-work decisions. Examine purpose and consent, privacy and disclosure, representation and measurement bias, accessible graphics, proportionate claims, transformation records and corrections. Prerequisites: introductory data analysis and reproducible workflows. Scenarios progress toward balancing transparency with protected access and resisting misleading reporting. This set teaches professional reasoning rather than jurisdiction-specific legal advice.

Cover: Photo by Rulo Davila on Pexels.