- Statistical Programming
- Tidyverse (R Package)
- Data Visualization Software
- Data Import/Export
- Data Manipulation
- Data Visualization
- Data Cleansing
- Rmarkdown
- R Programming
- Package and Software Management
- Ggplot2
- Data Analysis
Data Analysis with R Programming
Completed by Roberta Maia Dantas Calmon Bittencourt
September 28, 2023
31 hours (approximately)
Roberta Maia Dantas Calmon Bittencourt'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
