Clinical Data Models and Data Quality Assessments

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.

Career Relevance by Data Role

The techniques and tools covered in Clinical Data Models and Data Quality Assessments are most similar to the requirements found in Data Scientist job advertisements.

Similarity Scores (Out of 100)

Fast Facts

SQL Google BigQuery

Data Science Data Modeling ETL

Similar Opportunities
Decision-Making for Autonomous Systems

EdX - Chalmers University of Technology

Social and Economic Networks: Models and Analysis

Coursera - Stanford University