- Data Science
- Electronic Medical Record
- Tidyverse (R Package)
- Data Access
- Medical Privacy
- Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Health Informatics
- R Programming
- SQL
- Clinical Data Management
- Data Ethics
- Data Processing
Introduction to Clinical Data Science
Completed by Abraham Adokwei
May 25, 2022
8 hours (approximately)
Abraham Adokwei's account is verified. Coursera certifies their successful completion of Introduction to Clinical Data Science
What you will learn
Describe how each type of clinical data are generated, specifically outlining who creates the data, when and why the data are generated.
Write SQL code to combine two or more tables using database joins.
Write R code to manipulate and tidy data including: selecting columns, filtering rows, and joining data sets.
Write markdown formatted text and combine with R code in RMarkdown documents.
Skills you will gain
