- Data Structures
- R (Software)
- Data Visualization Software
- Statistical Programming
- Ggplot2
- Data Cleansing
- Data Import/Export
- Data Analysis
- R Programming
- Package and Software Management
- Data Manipulation
- Tidyverse (R Package)
Data Analysis with R Programming
Completed by Primo Capriolo-Morris
June 3, 2024
31 hours (approximately)
Primo Capriolo-Morris's account is verified. Coursera certifies their successful completion of Data Analysis with R Programming
What you will learn
Describe the R programming language and its programming environment.
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.
Describe the options for generating visualizations in R.
Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.
Skills you will gain
