- Statistical Programming
- Tidyverse (R Package)
- Data Visualization Software
- Data Import/Export
- Data Manipulation
- Data Visualization
- Data Cleansing
- Rmarkdown
- R Programming
- Package and Software Management
- Ggplot2
- Data Analysis
Data Analysis with R Programming
Completed by Nadeen Subrun-Melton
February 16, 2024
31 hours (approximately)
Nadeen Subrun-Melton'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
