- Tidyverse (R Package)
- Data Visualization
- Statistical Programming
- R Programming
- Data Analysis
- Data Manipulation
- Data Structures
- Data Visualization Software
- Ggplot2
- Data Import/Export
- Rmarkdown
- Data Cleansing
Data Analysis with R Programming
Completed by NIK AHDA NIK AB RAHMAN
April 18, 2023
31 hours (approximately)
NIK AHDA NIK AB RAHMAN'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
