- 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 AMALEA DAPHNE SIDEROPOULOS
July 12, 2022
31 hours (approximately)
AMALEA DAPHNE SIDEROPOULOS'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
