- Drug Development
- Data Quality
- Data Analysis
- Predictive Modeling
- Statistical Methods
- Healthcare Industry Knowledge
- Epidemiology
- Clinical Trials
- Statistical Analysis
- R Programming
- Electronic Medical Record
- Health Policy
Data Science with Real World Data in Pharma
Completed by Irina Medvedeva
April 30, 2025
9 hours (approximately)
Irina Medvedeva'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
