Data Science with Real World Data in Pharma
Completed by Patricio Pichling
February 16, 2026
9 hours (approximately)
Patricio Pichling'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: Clinical Research
- Category: Data Science
- Category: Data Analysis
- Category: Pharmaceuticals
- Category: Health Policy
- Category: Statistical Analysis
- Category: Healthcare Industry Knowledge
- Category: Statistical Methods
- Category: Epidemiology
- Category: Drug Development
- Category: Data Integration
- Category: Clinical Trials
