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Data Science Ethics

University of Michigan via edX

4 Reviews 111 students interested
Found in Philosophy
  • Provider edX
  • Cost Free Online Course (Audit)
  • Session Self Paced
  • Language English
  • Certificate $49 Certificate Available
  • Effort 3-4 hours a week
  • Start Date
  • Duration 4 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review


As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.

Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.

Taught by

H. V. Jagadish

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Reviews for edX's Data Science Ethics
3.5 Based on 4 reviews

  • 5 star 25%
  • 4 star 25%
  • 3 star 25%
  • 2 star 25%
  • 1 star 0%

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  • 1
Gregory S
3.0 3 years ago
by Gregory completed this course.
DS101x Data Science Ethics is a 4-week survey of ethical issues that arise in data science offered by the University of Michigan through the edX MOOC platform. The course includes 9 modules that begin with a basic overview of ethics and the history of ethics, followed by discussions of data ownership, privacy, anonymity, data validity, algorithmic fairness and society consequences. There are no real prerequisites to take the course, although some familiarity with data science will give you more insight into the material. Grading is based on 9 quizzes (one for each module) that allow unlimited …
Was this review helpful to you? Yes
Dan G
2.0 3 years ago
Dan completed this course.
This course presents some interesting case studies and raises many data sciences ethical problems worth thinking about. However, the course lacks any academic rigour and the introduction to ethics section is far too brief. This leads to the lack of a solid framework from which the ethical issues presented can be analysed. Ideally, each issue should be consider from a variety of ethical frameworks. The course is essentially the lecturers subjective opinion on ethical matters and would make more sense as a presentation by the lecturer rather than billed as a course. This is an important subject and I hope that future courses will have more solid foundations, and less subjective discussions.
Was this review helpful to you? Yes
Marjolein V
4.0 a month ago
Marjolein completed this course, spending 2 hours a week on it and found the course difficulty to be medium.
The course gives a great overview of the subject. Good use cases. Professor is knowledgeable. Course is in need of some updating.
Was this review helpful to you? Yes
5.0 2 years ago
Anonymous completed this course.
I really enjoyed this course and would advice to take it for anyone interested into ethics in the computing field.
Was this review helpful to you? Yes
  • 1

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