Data Science with Real World Data in Pharma
Completed by Monica Clara Petrangeli
February 25, 2026
9 hours (approximately)
Monica Clara Petrangeli'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 Quality
- Category: Clinical Trials
- Category: Statistical Methods
- Category: Statistical Analysis
- Category: Healthcare Industry Knowledge
- Category: Data Science
- Category: Pharmaceuticals
- Category: Health Policy
- Category: Epidemiology
- Category: Clinical Research
- Category: Drug Development
- Category: Data Integration
