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
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How Science Turns Data Into Knowledge
This course is part of Understanding Data: Navigating Statistics, Science, and AI Specialization
Instructor: Elle O'Brien
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(10 reviews)
Beginner level
Recommended experience
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
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
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
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This course is part of the Understanding Data: Navigating Statistics, Science, and AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Instructor
Offered by
Recommended if you're interested in Probability and Statistics
Banco Interamericano de Desarrollo
University of Amsterdam
University of Colorado Boulder
University of Copenhagen
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Reviewed on Oct 31, 2024
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