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Data Science Ethics

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.

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Rating 4.5 based on 47 ratings
Length 5 weeks
Effort 4 weeks, 3-4 hours/week
Starts Nov 21 (3 weeks ago)
Cost $49
From The University of Michigan, MichiganX, University of Michigan via Coursera
Instructors H. V. Jagadish, H.V. Jagadish
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science Mathematics
Tags Computer Science Data Analysis & Statistics Engineering Data Science Data Analysis Probability And Statistics

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What people are saying

data science ethics

Best course for Data Science Ethics I've been disappointed with the course overall.

I liked this course very much and Data Science Ethics explained very nice manner.

It is a starting point for anyone who want to get deeper into Data Science Ethics.

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case studies

This couse presented some interesting case studies, but never presented a real ethical system.

Very informative and enough case studies to show examples.

Even if I feel that I am fairly familiar with the topic, I learned a lot and particular the case studies were really great.

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for anyone

It should be a must for anyone in Data Science.

Great content, important topics A must-take for anyone working with data Nice, introductory course to ethics in data science.

one point

So 'ethics' is, at one point, defined more or less as 'what's socially agreed-up'.

At one point in week 1, the presenter correctly points out that ''data ownership is really complex''.

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Rating 4.5 based on 47 ratings
Length 5 weeks
Effort 4 weeks, 3-4 hours/week
Starts Nov 21 (3 weeks ago)
Cost $49
From The University of Michigan, MichiganX, University of Michigan via Coursera
Instructors H. V. Jagadish, H.V. Jagadish
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science Mathematics
Tags Computer Science Data Analysis & Statistics Engineering Data Science Data Analysis Probability And Statistics

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