- Data Structures
- Data Manipulation
- Data Cleansing
- Data Visualization
- Tidyverse (R Package)
- Rmarkdown
- Data Analysis
- Statistical Programming
- R (Software)
- Ggplot2
- Data Import/Export
- Package and Software Management
Data Analysis with R Programming
Completed by Nadun Jeeva Deshan Herath Mudiyanselage
May 14, 2024
31 hours (approximately)
Nadun Jeeva Deshan Herath Mudiyanselage'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
