Learn how to make ethical and responsible decisions in real data science projects. This course introduces the foundations of data ethics, professional ethics, and ethical decision-making, giving you the tools to appraise project methods with confidence.
Data Science: Ethical decision-making in practice
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
How to apply professional ethics to real data science work.
How to make ethical, informed decisions when planning and evaluating data projects.
How to understand responsibility and assess the possible consequences of AI within a project context.
Skills you'll gain
Details to know
Recently updated!
December 2025
Assessments
1 assignment
Taught in English
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There are 2 modules in this course
In this short course, you will explore the features and practices common to professions and consider whether the field of data science should professionalise or not. You will also examine the conditions for responsibility and apply them to the possible consequences of data science. You will evaluate the value of professions having their own codes of ethics and what the implications could be for your practice in the field of data science. Finally, you will consider the circumstances under which data scientists may have a responsibility to speak out against wrongdoing.
What's included
17 readings1 discussion prompt
What's included
5 readings1 assignment
Instructor
Offered by
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