How Science Turns Data Into Knowledge
Completed by Sang-Heon Song
July 22, 2024
11 hours (approximately)
Sang-Heon Song'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: Research
- Category: Statistical Hypothesis Testing
- Category: Research Methodologies
- Category: Research Design
- Category: Data Literacy
- Category: Journalism
- Category: Statistical Reporting
- Category: Analytical Skills
- Category: Data Analysis
- Category: Media and Communications
- Category: Science and Research
- Category: Probability & Statistics
