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Вернуться к Data Science Ethics

Отзывы учащихся о курсе Data Science Ethics от партнера Мичиганский университет

4.8
звезд
Оценки: 541
Рецензии: 157

О курсе

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....

Лучшие рецензии

LA
26 июня 2019 г.

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.

OA
9 мар. 2021 г.

The course was a great opportunity to understand more about the ethics behind the data science and even more, behind the technology. Some subjects will support me on the future researches.

Фильтр по:

151–157 из 157 отзывов о курсе Data Science Ethics

автор: Sivaranjani K

6 июня 2020 г.

good

автор: Santosh k

27 мая 2020 г.

Good

автор: Tangudu T

24 мая 2020 г.

Good

автор: AKULA P

23 мая 2020 г.

Good

автор: Brian W

14 апр. 2021 г.

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.

автор: Peter P

17 февр. 2018 г.

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.

автор: sahithi k

6 июля 2020 г.

good