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Learner Reviews & Feedback for Ethical Issues in Data Science by University of Colorado Boulder

4.6
stars
25 ratings

About the Course

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning. 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....

Top reviews

RS

Jun 12, 2021

I learned a lot about ethical issues and computer Science. Good lectures, good reading material, but a whole lot of writing

IB

Sep 17, 2022

This is an awesome general overview on the ethical issues we are likely to run into as data scientits and researchers.

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1 - 8 of 8 Reviews for Ethical Issues in Data Science

By Erik S

Mar 30, 2021

Great course about ethics in data science and general. But please calculate a lot of more time for reading and writing as stated.

By Rashomi S

Jun 12, 2021

I learned a lot about ethical issues and computer Science. Good lectures, good reading material, but a whole lot of writing

By Martin

May 3, 2021

A great introduction to ethical issues in data science. This course covers a broad range of topics, including privacy, security, algorithmic bias and as well as a number of frameworks for analyzing ethical issues.

By Isaac B

Sep 18, 2022

This is an awesome general overview on the ethical issues we are likely to run into as data scientits and researchers.

By gorgees a

Nov 16, 2021

A course full of valuable information and beautiful skills Thank you so much I hope to be with you in other courses

By Hidetake T

Feb 9, 2022

Great, massive practices of analysis in ethics. It is rare opportunity, but crucial skill in practice.

By Mumenh A

Jan 18, 2022

thank you

By Maleeha Q

Jul 12, 2022

The only reason to not give 5 stars is the need for an audit option where i can learn the concepts without needing to turn in assignments - i'm not looking for a grade. But the course is awesome!