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

Good 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.

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

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

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

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!

Very 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.

I 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.

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.

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

Leaned a lot of the ethical frameworks when being in the real professional world.

Learned a lot. Focused on the main topics.

Excellent class!

thank you