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Voltar para Data Science Ethics

Comentários e feedback de alunos de Data Science Ethics da instituição Universidade de Michigan

713 classificações

Sobre o curso

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....

Melhores avaliações


26 de jun de 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 de mar de 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 — 197 de 197 Avaliações para o Data Science Ethics

por Luis C

17 de mar de 2022

It is an engaging and interesting course. Will recommend it to anyone in the Data Science field.

por Mohit B

30 de ago de 2020

I haven't got my certificate yet so please give me my certificate this is all i wanted to say


22 de jul de 2020

this data science and ethics is really very useful and it was very good and easy to learn

por Anup J

6 de abr de 2021

A good primer to delve deeper into the Data Ethics issues and privacy related data ethics

por Roja.S

26 de mai de 2020

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

por Pitchnaree M

3 de fev de 2022

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

por Carlos V

18 de mar de 2022

A great introduction to data science ethics with great examples.

por Akash B

10 de nov de 2020

Great course to learn everything about Data science Ethics .

por Bea S

22 de jan de 2020

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

por Codrin K

2 de jul de 2018

Good overview of topics regarding ethics in data science.

por Freddy E V

3 de jul de 2022

Great speaker and good course material.

por Abhishek D G

20 de set de 2020

The course is very helpful for me.

por N.SATHYA V I 1 V C

21 de mai de 2020

IT is very good to gain a knowldge

por Jeyson I Q A

15 de out de 2021

buenos conceptos para aprender

por Andrea M

25 de ago de 2020

It should be more complicated.

por Sivaranjani K

6 de jun de 2020


por Santosh k

27 de mai de 2020


por Tangudu T

24 de mai de 2020



23 de mai de 2020


por Brian W

14 de abr de 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.

por Peter P

17 de fev de 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.

por sahithi k

6 de jul de 2020