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Data Science Ethics with R

This course is part of Data Science with R Specialization

Instructors: Mine Çetinkaya-Rundel +1 more

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

R Programming

Data Visualization Software

Data Literacy

Data Ethics

Data Quality

Algorithms

Data Presentation

Data Collection

Data Integrity

There is 1 module in this course

This course highlights the ethical responsibilities we have as statisticians and data scientists when working with data. This course demonstrates situations where ethical concerns with data arise and helps train our brains to be more aware of how data are used and the intent behind data collection. By the end of this course, you will be able to identify misrepresentation in visualizations, describe the basics of data privacy, and recognize potential situations where algorithmic bias is at play.

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