Applied Data Science

3 credits · Allied Health Graduate Program

Practical Data Science in Healthcare. This course is designed to introduce students to the tools and technologies of 'data science' as they are applied to healthcare. Bill Cleveland, the famous computer scientist wrote 'Knowledge among computer scientists about how to think of and approach the analysis of data is limited, just as the knowledge of computing environments by statisticians is limited. A merger of the knowledge bases would produce a powerful force for innovation.' Everything we do in delivering health to our patients involves information: how it is stored, how it is moved around, how we extract meaning from it. Understanding the many principles, technologic, ethical, and regulatory issues surrounding the 'merger', is a requirement for leadership in the realm of clinical informatics. Included in this course will be practical hands-on experience with plug and play machine learning tools via Microsoft Azure (no programming needed). Credit: 3