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5 reasons to follow the course “Critical Thinking: Data and Fallacies”

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About the course

11/02/2023

Matthieu Cisel
Social media, political discourses, and debates: you need argumentation skills everyday to detect when someone manipulates or misleads you. Learn how to spot fallacious arguments and to refute them.

By Matthieu Cisel

Reason #1: Recognize classic manipulation techniques
Graphs and data can be manipulated in subtle ways in order to persuade and mislead readers. After taking this course, you’ll be aware of some of the commonly used tactics.

Reason #2: Strengthen your own arguments
If your argument is worth making, you should be able to get your point across without using reasoning that relies on red-herring or strawman fallacies. This course will help you identify your own cognitive biases and help you avoid making fallacious arguments.

Reason #3: Impress people with your (dead) language skills
You’ll have the opportunity to brush up on your Latin! Many of the fallacies covered in this course have been studied for millennia and are still often identified by their Latin names: post hoc, ad hominem, etc.

Reason #4: Do not believe in false authorities
We’ve all heard amazing claims that sound too good to be true. They usually begin with “A study says…” or “Experts claim…,” but how do we know if these “studies” and “experts” are credible? Where was this study published? Who are these experts? This course will remind you why it’s important to question things before accepting them as truth.

Reason #5: Universal and applicable to any field
This course combines elements of philosophy, logic and data science. If you are looking for a comprehensive approach to critical thinking that can serve you across disciplines, then this is the course for you!

Are you convinced?
Learn more and register for this online course “Critical Thinking: Data and Fallacies”, click here!

Enrollment: From Nov 22, 2022 to Nov 20, 2023
Course: From Nov 22, 2022 to Nov 21, 2023

Critical Thinking: Data and Fallacies

OrganizationCY Cergy Paris Université
Course code156006
Course date Archived

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