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Elle O'Brien

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.

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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.

During the course, you’ll explore the nuances of significance testing, scientific research methods, and science communication, emphasizing the importance of carefully interpreting statistical results. After learning about the scientific process, you’ll learn how science can make its way into the news cycle—and how critical context can be lost amidst the noise. By the end of the course, you’ll be able to think more critically about the media you consume and how you can view science news and information with a more nuanced perspective.

This is the second course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.

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What's inside

Syllabus

Welcome, Introduction & Significance
Experimental Design
How Science Becomes News
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Science and Society

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Course content aligns closely with evaluating data within a scientific context
Practice analyzing experimental limitations and how they may impact results
Develops critical thinking skills in evaluating scientific claims and assessing their credibility
Enhances understanding of how science is translated and communicated to the public
Requires some base understanding of statistics or research design

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in How Science Turns Data Into Knowledge with these activities:
Review Basic Statistics Concepts
Strengthen your foundation by reviewing basic statistical concepts.
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  • Review Descriptive Statistics
  • Revisit Probability Distributions
  • Practice Applying Concepts
Organize Course Notes And Assignments
Enhance your retention by organizing and reviewing course materials.
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  • Review And Organize Notes
  • Compile Assignments And Quizzes
  • Create A Study Plan
Design And Conduct A Mini-Experiment
Apply your knowledge of experimental design by designing and conducting your own mini-experiment.
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  • Define A Research Question
  • Develop A Hypothesis
  • Design And Conduct The Experiment
  • Analyze The Results
  • Draw Conclusions And Discuss Implications
Five other activities
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Complete the interactive data analysis exercises
Practice applying the statistical concepts you're learning in the course through interactive exercises.
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  • Review the lecture material on statistical significance testing
  • Go through the interactive data analysis exercises
  • Interpret the results of the data analysis exercises
Explore Supporting Resources For Significance Testing
Deepen your understanding of significance testing by exploring additional resources and tutorials online.
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  • Identify Reputable Resources
  • Review Tutorials And Articles
  • Practice Applying Concepts
Analyze Experimental Designs Critically
Improve your ability to evaluate experimental designs and identify potential limitations.
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  • Review Different Experimental Designs
  • Identify Strengths And Weaknesses
  • Consider Alternative Designs
Summarize Key Points From Science News Articles
Enhance your understanding of science communication by summarizing key points from scientific news articles.
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  • Read And Analyze Articles
  • Identify Main Points And Supporting Evidence
  • Write A Clear And Concise Summary
Read "Bad Science" by Ben Goldacre
Expand your understanding of the role of trust and responsibility within scientific research.
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  • Read And Analyze The Book
  • Identify Key Concepts And Arguments
  • Reflect On The Implications For Science Communication

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