MN
5.0Reviewed Jun 25, 2024
Leaned a lot of the ethical frameworks when being in the real professional world.
Great course about ethics in data science and general. But please calculate a lot of more time for reading and writing as stated.
Ethical Issues in Data Science
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.
Status: Artificial Intelligence
Status: Healthcare Ethics
BeginnerCourse24 hours
Featured reviews
GA
5.0Reviewed Nov 15, 2021
A course full of valuable information and beautiful skills Thank you so much I hope to be with you in other courses
AM
5.0Reviewed Dec 6, 2024
Very good course. I learned a lot from this course.
RS
5.0Reviewed Jun 12, 2021
I learned a lot about ethical issues and computer Science. Good lectures, good reading material, but a whole lot of writing
MQ
4.0Reviewed Jul 11, 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!
IB
5.0Reviewed Sep 17, 2022
This is an awesome general overview on the ethical issues we are likely to run into as data scientits and researchers.
All reviews
Showing: 17 of 17
All Learners
All Stars
Most Helpful
Erik Schneider
5.0
Reviewed Mar 30, 2021大西悟史
5.0
Reviewed Nov 1, 2024Good course. It was tough to write the report, but I was able to gain knowledge about ethical issues in data science, such as algorithmic bias and unemployment due to AI.
Rashomi Silva
5.0
Reviewed Jun 12, 2021I learned a lot about ethical issues and computer Science. Good lectures, good reading material, but a whole lot of writing
Isaac Blach
5.0
Reviewed Sep 18, 2022This is an awesome general overview on the ethical issues we are likely to run into as data scientits and researchers.
gorgees alsallamy
5.0
Reviewed Nov 16, 2021A course full of valuable information and beautiful skills Thank you so much I hope to be with you in other courses
Maleeha Qazi
4.0
Reviewed Jul 12, 2022The 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!
Nick Shlepov
5.0
Reviewed Aug 7, 2024Very important material. In my opinion, would be great to update some material or to add a couple of new blocks. I understand the challenge: the industry is changing with a dramatic speed. However, some information from 2020 feels like it comes from the previous life. Nonetheless, it's a great course with an extremely valuable perspective.
Xiaowen Xing
5.0
Reviewed Feb 15, 2023I thought before that this course would be easy, but it turns out I spent even more time in this course than some technical courses. The course itself was very impressive, and I appreciate the effort that CU made to equip us with ethical thinking, which is essential in data science practice.
Martin
5.0
Reviewed May 3, 2021A 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.
Hidetake Takahashi
5.0
Reviewed Feb 9, 2022Great, massive practices of analysis in ethics. It is rare opportunity, but crucial skill in practice.
Mahvash Nejad
5.0
Reviewed Jun 26, 2024Leaned a lot of the ethical frameworks when being in the real professional world.
Anh Mai
5.0
Reviewed Dec 6, 2024Very good course. I learned a lot from this course.
5.0
Reviewed Apr 30, 2024Learned a lot. Focused on the main topics.
Antonio Rodríguez
5.0
Reviewed Nov 6, 2025Es un curso muy completo
José D. Casillas-Aponte
5.0
Reviewed May 27, 2024Excellent class!
DIEGO ALEXANDER ALVAREZ ZARATE
5.0
Reviewed Jun 18, 2025excelente
MOUMENA ABOULSALAM
5.0
Reviewed Jan 18, 2022thank you