- Statistical Programming
- Data Import/Export
- Tidyverse (R Package)
- Data Visualization
- R Programming
- Data Cleansing
- Data Manipulation
- Data Visualization Software
- Ggplot2
- Data Structures
- Rmarkdown
- Data Analysis
Data Analysis with R Programming
Completed by AL SARMIENTO MARTIN DEL CAMPO
December 11, 2021
31 hours (approximately)
AL SARMIENTO MARTIN DEL CAMPO'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
