- R (Software)
- Data Structures
- Data Analysis
- Rmarkdown
- Data Visualization
- Ggplot2
- Tidyverse (R Package)
- R Programming
- Statistical Programming
- Data Manipulation
- Package and Software Management
- Data Import/Export
Data Analysis with R Programming
Completed by Nur Fatimatul Zaharah binti Khalir
November 20, 2022
31 hours (approximately)
Nur Fatimatul Zaharah binti Khalir'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
