- Google Cloud Platform
- R Programming
- Tidyverse (R Package)
- Clinical Data Management
- Health Insurance Portability And Accountability Act (HIPAA) Compliance
- Data Ethics
- Data Science
- Electronic Medical Record
- SQL
- Data Manipulation
- Data Access
- Data Processing
Introduction to Clinical Data Science
Completed by Maaike Margot Helène van Swieten
February 16, 2023
8 hours (approximately)
Maaike Margot Helène van Swieten'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
