Data Science with Real World Data in Pharma
About this Course
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 of the data sources and learn how to generate high quality evidence and how that evidence is used by the stakeholders for decision making purposes. To be successful in this course, you should have a background in data analytics, statistics, or other technical fields. No experience in the pharmaceutical industry is expected. We thank Hannah Furby and Matt Secrest for her inspirational material.Created by: Genentech
Related Online Courses
Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard... more
This Specialization is designed for professionals and students seeking a comprehensive understanding of IoT Security. It includes three courses: Foundations of Secure IoT Architecture, Managing IoT... more
Welcome to \"Requirements Writing\". As the title indicates, over the next four weeks, we will be looking at the important task of writing of text-based requirement statements. The course takes you... more
The Real-Time Embedded Systems specialization is a series of four course taking you from a beginning practitioner, to a more advanced real-time system analyst and designer. Knowledge and experience... more
Get started with low-code application development using Oracle APEX, and learn how to build scalable, secure enterprise apps with world-class features that can be deployed anywhere.Created by: Oracle more
Powered by
