About this Course
Learn how to make ethical and responsible decisions in real data science projects. This course introduces the foundations of data ethics, professional ethics, and ethical decision-making, giving you the tools to appraise project methods with confidence. You’ll explore how responsible choices shape outcomes, how to recognise risks in data- driven work, and how to apply ethical frameworks throughout the project lifecycle. Designed with practical application in mind, the course helps you build the judgement needed for working in modern data science roles. By the end, you’ll understand the conditions for responsibility, be able to evaluate methodological decisions, and feel equipped to navigate ethical challenges in data-intensive environments
What You'll Learn
- Apply professional ethics to data science work
- Make ethical and informed decisions in project planning and evaluation
- Understand responsibility and assess AI consequences in projects
Prerequisites
- Basic familiarity with the topic and its common terminology
- Readiness to practice through applied exercises or case-based work
Instructors
Robbie Morgan