Data Science with Real World Data in Pharma

This course introduces you to how Real World Data/Evidence can be used for pharmaceutical research and development and how it complements the evidence package for healthcare decision-making. If you are interested in applying data science to pharmaceutical research using data collected as part of routine clinical practice, this course is for you. The course will help you describe what it means to be a Real World Data Scientist in the pharmaceutical industry. You will discover the particularities

• 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.