Data Ethics is the branch of ethics that evaluates data practices with the potential to adversely impact people and society, in areas such as privacy, fairness, and compliance. Coursera's Data Ethics catalogue teaches you about these essential considerations in the modern data-driven world. You'll learn about principles of data privacy and security, ethical data collection and usage, implications of machine learning algorithms, designing ethical AI systems, and the role of transparency and accountability in data science. This knowledge will empower you to make ethical decisions and policies in your role as a data scientist, data analyst, AI engineer, or any position dealing with data.