Data Science with Real World Data in Pharma
Completed by Richmond Silvanus Baye
March 17, 2025
9 hours (approximately)
Richmond Silvanus Baye'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: Health Policy
- Category: Pharmaceuticals
- Category: Clinical Trials
- Category: Epidemiology
- Category: Clinical Research
- Category: Data Integration
- Category: Drug Development
- Category: Data Science
- Category: Statistical Methods
- Category: Statistical Analysis
- Category: Healthcare Industry Knowledge
- Category: Data Quality
