This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud.
At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.
Overview
Syllabus
- Welcome to the Clinical Data Science Specialization
- Learn what clinical data science is all about and get access to the free technology environment hosted by Google Cloud!
- Introduction: Clinical Data
- Clinical data are complex. Walk through the four-W's of clinical data to understand where they come from and what they look like.
- Tools: SQL
- Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
- Tools: R and the Tidyverse
- Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
Taught by
Laura K. Wiley, PhD
