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.
Data Science Ethics with R
Data Science Ethics with R
This course is part of Data Science with R Specialization
Instructors: Mine Çetinkaya-Rundel
Access provided by Kalinga Institute of Industrial Technology
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
6 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
Skills you'll gain
Details to know
Shareable certificate
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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.
- Learn new concepts from industry experts
- 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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