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Duke University

Data Science Ethics with R

Develop the ethical mindset every data scientist needs. In this course, you’ll examine the real-world implications of how data are collected, analyzed, and presented and the role of ethics in ensuring fairness, transparency, and trust. Through examples and case studies, you’ll learn to recognize misrepresentation in visualizations, algorithmic bias in models, and privacy risks in data collection. You’ll also explore strategies for mitigating these challenges and communicating results responsibly. By the end of this course, you’ll be able to identify ethical risks, apply frameworks for responsible data use, and make informed choices that uphold integrity in your analyses.

Status: Ethical Standards And Conduct
Status: Data Storytelling
BeginnerCourse7 hours

Featured reviews

HR

5.0Reviewed Oct 2, 2025

It is a perfect amalgamation of making you scratch your head and also holding your hand through all of the new information thrown at you.

IM

5.0Reviewed Oct 17, 2025

Nice and concise course about the ethics in data science. The information in this course is appliable not only to R, but to other data science methods as well.

All reviews

Showing: 4 of 4

GAEL ANTONIO LEYVA GONZALEZ
5.0
Reviewed Apr 8, 2026
Imelda Lizeth Chavez Martinez
5.0
Reviewed Oct 18, 2025
Harsh Raj
5.0
Reviewed Oct 3, 2025
ASEEL QASEM MOHAMMED ALDAWSARI
5.0
Reviewed Apr 9, 2026