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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您将学到什么
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.
您将获得的技能
要了解的详细信息
最近已更新！
December 2025
作业
1 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有2个模块
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.
涵盖的内容
17篇阅读材料1个讨论话题
涵盖的内容
5篇阅读材料1个作业
位教师
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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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