- Electronic Medical Record
- Healthcare Industry Knowledge
- Data Analysis
- Drug Development
- Data Quality
- Epidemiology
- Health Policy
- Data Science
- Clinical Research
- Predictive Modeling
- Clinical Trials
- Statistical Analysis
Data Science with Real World Data in Pharma
Completed by Bryce Sady
July 2, 2025
9 hours (approximately)
Bryce Sady'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
