University of Michigan
How Science Turns Data Into Knowledge
University of Michigan

How Science Turns Data Into Knowledge

Elle O'Brien

Instructor: Elle O'Brien

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

11 hours (approximately)
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

Details to know

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Recently updated!

May 2024

Assessments

5 assignments

Course

Gain insight into a topic and learn the fundamentals

Beginner level

Recommended experience

11 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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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

Elle O'Brien
University of Michigan
6 Courses1,166 learners

Offered by

Recommended if you're interested in Probability and Statistics

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