- Data Structures
- R (Software)
- Data Visualization Software
- Statistical Programming
- Ggplot2
- Data Cleansing
- Data Import/Export
- Data Analysis
- R Programming
- Package and Software Management
- Data Manipulation
- Tidyverse (R Package)
Data Analysis with R Programming
Completed by Adapa Bala Tripura Sundarai Bhavya
November 13, 2021
31 hours (approximately)
Adapa Bala Tripura Sundarai Bhavya'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
