Data Science Ethics with R

Beginner Level
6 hours to complete 3 weeks at 2 hours a week
Flexible Schedule

Mine Çetinkaya-Rundel , Dr. Elijah Meyer

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

Algorithms Data Quality R Programming Data Literacy Data Ethics Data Visualization Software Data Presentation Data Integrity Data Collection

Shareable Certificate

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Develop Your Specialized Knowledge

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 are 1 modules 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.