Data Science with Real World Data in Pharma
Completed by Duong Thuy Dang
May 30, 2026
9 hours (approximately)
Duong Thuy Dang's account is verified. Coursera certifies their successful completion of Data Science with Real World Data in Pharma
What you will learn
Explain how real world data/evidence fits into the drug development process
Describe the three major types of bias that can be encountered in observational studies
Apply basic survival analysis techniques such as Kaplan-Meier plots and Cox Models to synthetic data.
Skills you will gain
- Category: Data Integration
- Category: Drug Development
- Category: Health Policy
- Category: Pharmaceuticals
- Category: Data Analysis
- Category: Clinical Research
- Category: Epidemiology
- Category: Data Science
- Category: Clinical Trials
- Category: Statistical Methods
- Category: Statistical Analysis
- Category: Healthcare Industry Knowledge
