- Data Import/Export
- Data Structures
- Statistical Programming
- Tidyverse (R Package)
- Data Manipulation
- Package and Software Management
- Data Cleansing
- Rmarkdown
- Data Visualization
- R Programming
- Ggplot2
- Data Analysis
Data Analysis with R Programming
Completed by Azaz Mohammad Ashfaque Bari Nahid
December 24, 2023
31 hours (approximately)
Azaz Mohammad Ashfaque Bari Nahid'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
