Skills you'll gain

Specialization - 6 course series

Each course in the specialization culminates in a final project that is a practical application of the tools and technique you learned throughout the course. In these projects you will apply your skills to a real clinical data set using the free, fully hosted online data science environment provided by our industry partner, Google Cloud.

This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity-Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model.

This course teaches you the fundamentals of transforming clinical practice using predictive models. This course examines specific challenges and methods of clinical implementation, that clinical data scientists must be aware of when developing their predictive models.

This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis.

Clinical Data Models and Data Quality Assessments

Identifying Patient Populations

Clinical Natural Language Processing

Predictive Modeling and Transforming Clinical Practice

Advanced Clinical Data Science