How Science Turns Data Into Knowledge
Completed by Michael Young
June 30, 2024
11 hours (approximately)
Michael Young's account is verified. Coursera certifies their successful completion of How Science Turns Data Into Knowledge
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: Scientific Methods
- Category: General Science and Research
- Category: Experimentation
- Category: Science and Research
- Category: Statistical Methods
- Category: Peer Review
- Category: Data Analysis
- Category: Media and Communications
- Category: Journalism
- Category: Statistical Reporting
- Category: Research Methodologies
