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Data Science Ethics(으)로 돌아가기

미시건 대학교의 Data Science Ethics 학습자 리뷰 및 피드백

691개의 평가
188개의 리뷰

강좌 소개

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? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten." This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair. Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed....

최상위 리뷰


2019년 6월 26일

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.


2019년 3월 17일

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!

필터링 기준:

Data Science Ethics의 191개 리뷰 중 176~191

교육 기관: Pitchnaree M

2022년 2월 3일

​There are a lot of case study that help to understand each topic.

교육 기관: Carlos V

2022년 3월 18일

A great introduction to data science ethics with great examples.

교육 기관: Akash B

2020년 11월 10일

Great course to learn everything about Data science Ethics .

교육 기관: Bea S

2020년 1월 22일

I enjoyed taking this course because I have learned a lot.

교육 기관: Codrin K

2018년 7월 2일

Good overview of topics regarding ethics in data science.

교육 기관: Abhishek D G

2020년 9월 20일

The course is very helpful for me.

교육 기관: N.SATHYA V I 1 V C

2020년 5월 21일

IT is very good to gain a knowldge

교육 기관: Jeyson I Q A

2021년 10월 15일

buenos conceptos para aprender

교육 기관: Andrea M

2020년 8월 25일

It should be more complicated.

교육 기관: Sivaranjani K

2020년 6월 6일


교육 기관: Santosh k

2020년 5월 27일


교육 기관: Tangudu T

2020년 5월 24일


교육 기관: AKULA P

2020년 5월 23일


교육 기관: Brian W

2021년 4월 14일

This course is interesting, but not very complex. It does offer numerous case studies. You can explore pretty much the same material in a shorter period of time by reading "Weapons of Math Destruction" or "Calling Bulls&*t" which focus more on the specifics of how statistics and data science / machine learning can be either intentionally manipulated or inadvertently so. They cover p-hacking in more depth, visualizations that can be misleading, and many of the more deep ethical issues covered here.

교육 기관: Peter P

2018년 2월 17일

The course provides a good insight into some of the issues with the ethics of data science. Perhaps there is too much focus on data validity and not enough on ethics. This course shows that there is a need for systematic ethical enquiry into this subject.

교육 기관: sahithi k

2020년 7월 6일