- Electronic Medical Record
- Tidyverse (R Package)
- Data Ethics
- Google Cloud Platform
- Data Manipulation
- Data Processing
- Clinical Data Management
- Health Care Procedure and Regulation
- Information Privacy
- SQL
- Data Science
- Clinical Research
Introduction to Clinical Data Science
Completed by Cristóbal Alejandro Hernández Álvarez
June 11, 2024
8 hours (approximately)
Cristóbal Alejandro Hernández Álvarez'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
