How Science Turns Data Into Knowledge
Completed by Jirayu Kaewprateep
June 30, 2024
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: Probability & Statistics
- Category: Statistical Methods
- Category: Media and Communications
- Category: Experimentation
- Category: Statistical Inference
- Category: Research
- Category: Peer Review
- Category: Scientific Methods
- Category: Data Literacy
- Category: Statistical Hypothesis Testing
- Category: Data Analysis
- Category: Research Design
