This couse presented some interesting case studies, but never presented a real ethical system. In particular, the instructor frequently equated ethical behavior with socially acceptable behavior (this activity by corporation x was unethical because it resulted in public outcry). Someone with a background in ethics really should have been consulted in course developement.

On a purely practical matter, the ta did not seem to have any training in ethics at all. He just responded to every comment in the discussion area with a "what about" statement that sounded like it came straight from a late night dorm room bs session.

As I expected, the course provided me a lot of food for thought.

The aspect that I appreciated most was the necessity, as an Italian legal privacy counsel, to put aside my legal and GDPR background, and to think in a “more ethic manner”. This kind of approach permitted me to view the EU General Data Protection Regulation with new eyes, finding some aspects about that Regulation that I think could be improved.

This is really a great course. It is a starting point for anyone who want to get deeper into Data Science Ethics. Even if I feel that I am fairly familiar with the topic, I learned a lot and particular the case studies were really great. It should be a must for anyone in Data Science.

I've been disappointed with the course overall. it's a very interesting topic, one that's relevant to the times we live in. But I feel that many of the big questions are neither asked nor answered in the course.

The presenter's background is in engineering, not philosophy. This isn't a fundamental problem in itself, but it does mean that concepts are left very vaguely defined. So 'ethics' is, at one point, defined more or less as 'what's socially agreed-up'. But in the questions as well as the videos, the terminology shifts between 'ethically right/wrong', 'appropriate', 'have to do something,' 'by rights', 'legally', and lots more besides. So it's far from clear what the right or wrong position might be in many of the thought-experiments described in the quiz questions. What's more, if an action isn't in itself ethically right, that doesn't entail that it must be ethically wrong: it could be neither. There's virtually no input from other voices, too: no discussions with, say, experts in the field of data ethics, or moral philosophers, or whatever.

At one point in week 1, the presenter correctly points out that ''data ownership is really complex''. So it'd be useful to have a MOOC that makes it less complex: that asks hard questions, and critically examines the range of possible answers. Unfortunately, this MOOC isn't it.

Definitely a good choice fo the beginners in this topic. Highly recommended for the Europeans as the American regulations differ and the course covers most of them. Interesting reading materials that encourage to do research on your own.

The course has been well developed with the learner in mind. The material was interesting and covered some topics in which I was interested. The assessment aided the learning process.

It was relevant to the current environments.

I like to think I'm an ethical person, but this course challenged me about some biases I hadn't even considered. It's a well presented course that won't demand that you put hours and hours in every week.

I really enjoyed the material and the way it was presented. Even though I am not new to the topic, still more avenues and perspectives were supported with very good examples. Very refreshing.

Absolutely delightful to have Professor Jagadish walking us through the course. The course was informative and very stimulating. Opens up to a new world of data science ethics. Thank you!

Very good course with excellent examples and a balanced approach. My only issue was that the pace of the presentation was a little too slow at times. Content-wise, excellent.

This course is short, slow, and easy, but I ranked it five stars because the content is important in today's growing reliance on data science.

I think some of the concepts are really new and hard to grasp. But that's with everything we are learning that's new. Uncomfortable is good.

Excellent Course. Gives interesting and detailed perspectives on ethical matters related to how data can be used and should be used.

It is really good course, all described topics are highly important to know for everyone who working with data and information.

Nice, introductory course to ethics in data science. It is a good starting point for ethics considerations in this area.

I liked this course very much and Data Science Ethics explained very nice manner. I will recommend to join this course.

Short, but great course for beginners that gives interesting perspectives on some ethical matters in data science.

It is quite amazing I took this course. I was able to apply it to other scenarios in my personal online life.

A rigorous, mind-opening course on the ethical questions raised by the collection and use of data.

Very informative and enough case studies to show examples. Highly recommended for data scientists.

A very interesting course, excellent teacher and full of new point of view on data science

Taking course showed me the usually neglected ethics of Data. Simple yet very vital.

Terrific course reviewing the ethical considerations surrounding use of big data.

Great course with lots of pertinent content and examples to use right away.

Very informative content that was effectively communicated by H.V. Jagadish