- Tidyverse (R Package)
- Data Science
- Data Processing
- Data Access
- Medical Privacy
- SQL
- R Programming
- Clinical Data Management
- Data Ethics
- Health Informatics
- Google Cloud Platform
- Electronic Medical Record
Introduction to Clinical Data Science
Completed by KAZI ASIF-UL ISLAM
May 30, 2023
8 hours (approximately)
KAZI ASIF-UL ISLAM'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
