Duke University

Data Science Ethics with R

Duke University

Data Science Ethics with R

This course is part of Data Science with R Specialization

Mine Çetinkaya-Rundel
Dr. Elijah Meyer

Instructors: Mine Çetinkaya-Rundel

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Critically assess ethical concerns considering data intent and data privacy

  • Identify strategies that can be incorporated to help secure sensitive data

  • Define algorithmic bias and become conscious of when these situations may occur

Details to know

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Assessments

1 assignment

Taught in English

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This course is part of the Data Science with R Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

Data ethics is an essential component for those who work with data. In this module, we will become aware and hold discussions around how data visualizations can mislead and strategies to mitigate these types of situations. Further, we will discuss and critically think about data privacy. Lastly, we will define algorithmic bias and be aware of situations where this type of bias can occur.

What's included

5 videos17 readings1 assignment2 discussion prompts1 plugin

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Instructors

Mine Çetinkaya-Rundel
Duke University
11 Courses 427,235 learners

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Duke University

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