How Science Turns Data Into Knowledge teaches you how to evaluate scientific claims critically, address experimental limitations, and recognize the roles of trust and responsibility within research.



How Science Turns Data Into Knowledge
This course is part of Understanding Data: Navigating Statistics, Science, and AI Specialization

Instructor: Elle O'Brien
Access provided by New York State Department of Labor
(10 reviews)
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What you'll learn
Learn the rationale and limitations of significance testing within scientific inquiry, including crafting hypotheses and interpreting p-values
Learn how scientific experiments are proposed, designed, reviewed, and published
Identify common biases and mistranslations in science research reporting and the challenges of conveying science research to the public effectively
Assess the credibility of claims about research and recognize the role of replicability and generalizability in scientific progress
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There are 4 modules in this course
What's included
7 videos5 readings1 assignment1 discussion prompt
What's included
9 videos2 readings1 assignment
What's included
6 videos2 readings1 assignment
What's included
6 videos4 readings2 assignments1 discussion prompt
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Reviewed on Oct 31, 2024
Learn about significance and controlled experimentation. But needs to explore, what actually is knowledge?
Recommended if you're interested in Data Science
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