- Rmarkdown
- Data Cleansing
- Tidyverse (R Package)
- Ggplot2
- Data Analysis
- Data Manipulation
- Integrated Development Environments
- Programming Principles
- Data Structures
- Data Visualization
- Statistical Programming
- Data Visualization Software
Data Analysis with R Programming
Completed by MANTRI PRAGADA VENKATA SESHA ADITYA
September 10, 2023
31 hours (approximately)
MANTRI PRAGADA VENKATA SESHA ADITYA'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
