- Data Cleansing
- Rmarkdown
- Data Manipulation
- R Programming
- Data Import/Export
- Statistical Programming
- Package and Software Management
- Ggplot2
- Tidyverse (R Package)
- R (Software)
- Data Analysis
- Data Visualization
Data Analysis with R Programming
Completed by DISSANAYAKELAGE BUDDHIKA THIYAK ERANGA DISSANAYAKE
November 26, 2021
31 hours (approximately)
DISSANAYAKELAGE BUDDHIKA THIYAK ERANGA DISSANAYAKE'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
