Ementorhub

What you'll learn

Learners will be able to Identify and manage ethical situations that may arise in their careers.

Learnerrs will be able to apply ethical frameworks to help them analyze ethical challenges.

Learners will be familiar with key applications of data science that are commonly linked to ethical issues.

Skills you'll gain

Artificial Intelligence

Machine Learning Algorithms

Information Privacy

Emerging Technologies

Cybersecurity

Diversity Awareness

Data Science

Algorithms

Healthcare Ethics

Data Ethics

Ethical Standards And Conduct

Data Security

Medical Privacy

There are 5 modules in this course

This course examines some of the ethical issues related to data science, with the fundamental objective of making data science professionals aware of and sensitive to ethical considerations that may arise in their careers. It does this through a combination of discussion of ethical frameworks, examination of a variety of data science applications that lead to ethical considerations, reading current media and scholarly articles, and drawing upon the perspectives and experiences of fellow students and computing professionals. Ethical Issues in Data Science can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Internet, Privacy, and Security

Professional Ethics

Algorithmic Bias

Medical Applications and Implications