How Science Turns Data Into Knowledge
Completed by Megha Shenoy
February 21, 2025
11 hours (approximately)
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What you will 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 will gain
- Category: Statistical Inference
- Category: General Science and Research
- Category: Experimentation
- Category: Media and Communications
- Category: Probability & Statistics
- Category: Analytical Skills
- Category: Science and Research
- Category: Scientific Methods
- Category: Peer Review
- Category: Data Analysis
- Category: Research Design
- Category: Data Literacy
