Data Science Ethics
Academic Noncredit

Data science drives innovation, but ethics are crucial to ensure fairness, transparency, and accountability. This course explores the ethical challenges around data collection, sharing, and analysis, helping you navigate real-world problems with integrity. Learn to understand ethical data collection and share personal data responsibly, including obtaining informed consent and safeguarding privacy. Evaluate automated decision-making systems' fairness and impact on diverse groups. Learn best practices for protecting sensitive data from unauthorized access while balancing the need for insights. Develop practical tools by creating checklists and frameworks to guide ethical decision-making in data collection, sharing, and algorithm development.