How Science Turns Data Into Knowledge
About this course
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.
90/100
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- Who stands behind it
- 35/35
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- 16/20
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What you'll learn
- Evaluate scientific claims critically
- Understand the scientific process
- Interpret statistical results accurately
- Navigate science communication effectively
- Recognize experimental limitations and the role of trust in research
Course objectives
- Develop critical thinking skills regarding scientific information
- Explore the connections between science and media
- Enhance data literacy for everyday applications
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