- R (Software)
- Data Visualization Software
- Data Visualization
- Ggplot2
- Data Manipulation
- Data Structures
- Data Cleansing
- Data Analysis
- Tidyverse (R Package)
- R Programming
- Statistical Programming
- Package and Software Management
Data Analysis with R Programming
Completed by ALAN DE JESUS PEREZ PADILLA
June 22, 2022
31 hours (approximately)
ALAN DE JESUS PEREZ PADILLA'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
