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Avis et commentaires pour d'étudiants pour Data Science Ethics par Université du Michigan

691 évaluations
188 avis

À propos du cours

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....

Meilleurs avis


26 juin 2019

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.


17 mars 2019

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!

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176 - 192 sur 192 Avis pour Data Science Ethics

par Roja.S

26 mai 2020

It was interesting and helps me lot to learn about ethics involved in data science

par Pitchnaree M

3 févr. 2022

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

par Carlos V

18 mars 2022

A great introduction to data science ethics with great examples.

par Akash B

10 nov. 2020

Great course to learn everything about Data science Ethics .

par Bea S

22 janv. 2020

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

par Codrin K

2 juil. 2018

Good overview of topics regarding ethics in data science.

par Abhishek D G

20 sept. 2020

The course is very helpful for me.

par N.SATHYA V I 1 V C

21 mai 2020

IT is very good to gain a knowldge

par Jeyson I Q A

15 oct. 2021

buenos conceptos para aprender

par Andrea M

25 août 2020

It should be more complicated.

par Sivaranjani K

6 juin 2020


par Santosh k

27 mai 2020


par Tangudu T

24 mai 2020



23 mai 2020


par Brian W

14 avr. 2021

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.

par Peter P

17 févr. 2018

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.

par sahithi k

6 juil. 2020