- R Programming
- Ggplot2
- Tidyverse (R Package)
- Data Visualization Software
- Data Manipulation
- Rmarkdown
- Statistical Programming
- Data Cleansing
- Data Import/Export
- Package and Software Management
- Data Analysis
- Data Visualization
Data Analysis with R Programming
Completed by MOSTAFA EMAD SAYED MOSTAFA MOHAMED
November 28, 2022
31 hours (approximately)
MOSTAFA EMAD SAYED MOSTAFA MOHAMED'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
