- Rmarkdown
- Data Cleansing
- Tidyverse (R Package)
- Ggplot2
- Data Analysis
- Data Manipulation
- Integrated Development Environments
- Programming Principles
- Data Structures
- Data Visualization
- Statistical Programming
- Data Visualization Software
Data Analysis with R Programming
Completed by Paulo Cesar Barros De Jesus Costa
March 10, 2025
31 hours (approximately)
Paulo Cesar Barros De Jesus Costa'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
