Responsible Data Science

3 units

In today's data-driven world, understanding the ethical and responsible use of data is critical. This course provides a comprehensive overview of the key principles and challenges in responsible data science. The first wave of data science focuses on accuracy and efficiency-what we can do with data. The second wave focuses on responsibility-what we should or should not do. This technical course addresses ethical and responsible data science, including legal compliance, data quality, algorithmic fairness and diversity, transparency, privacy, and data protection.Through case studies, hands-on activities, and discussions, students will learn how to apply ethical frameworks and data governance principles to real-world data science problems. By the end of the course, participants will be equipped with the tools to make informed, ethical decisions in data science practices.