This workshop discusses ethical issues in data and analytics. The class spends 20-30 minutes each on a series of issues, alerting students to the existence of these issues and how to identify them. The course includes a half day on data issues such as privacy and data ownership, followed by a half-day on analytics issues such as p-hacking, sources of bias, and responding to algorithm failure. The workshop teaches a practical and applied understanding of ethical issues in data and analytics, presenting concrete examples of both good and bad practices, enabling course attendees to be better aware of and address potential issues.