- Package and Software Management
- R Programming
- Ggplot2
- Rmarkdown
- Data Manipulation
- Data Import/Export
- Statistical Programming
- Data Cleansing
- Data Visualization Software
- Tidyverse (R Package)
- Data Visualization
- Data Analysis
Data Analysis with R Programming
Completed by IZAMAR DEL ROCIO JAEN VALDEZ
March 11, 2022
31 hours (approximately)
IZAMAR DEL ROCIO JAEN VALDEZ'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
