What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches?
Data Science Ethics
About this Course
완료하는 데 약 17시간 필요
완료하는 데 약 17시간 필요
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
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DATA SCIENCE ETHICS의 최상위 리뷰
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.
A good overview of privacy, ethics, informational consent etc.\n\nThe numerous case studies were very informative, relevant and helpful for the daily work in Data Science.
This is a good course, it is applicable to a wide range of fields.\n\nI found it very helpful in my career.\n\nEthics is key in ever aspect of our life.\n\nThanks.
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.
Great materials. Very original. But I think the lecturer needs to smile and put more energy in his talk. Hope you're having a good day!
Excellent Course. Gives interesting and detailed perspectives on ethical matters related to how data can be used and should be used.
Good introductory course into the topic. Great lecturer. Think needs more deep dive into each topic with more diverse examples.
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.
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