- Tidyverse (R Package)
- Data Analysis
- Data Manipulation
- Programming Principles
- Integrated Development Environments
- Rmarkdown
- Data Cleansing
- Ggplot2
- Data Structures
- Data Transformation
- Data Visualization
- Statistical Programming
Data Analysis with R Programming
Completed by Dugan O'Connor
June 14, 2024
31 hours (approximately)
Dugan O'Connor'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
