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Data Science Ethics

Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

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17,215 already enrolled! After a course session ends, it will be archived.
Starts Jul 23
Ends Aug 31
Starts Aug 3
Estimated 4 weeks
3–4 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

About this course

Skip About this course

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.

At a glance

  • Institution: MichiganX
  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites:

    The ability to think critically about the impact of one's decisions.

  • Language: English
  • Video Transcript: English

What you'll learn

Skip What you'll learn
  • Who owns data
  • How we value different aspects of privacy
  • How we get informed consent
  • What it means to be fair

About the instructors

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