R Programming for Statistics and Data Science
Completed by Tanushree Roy
March 16, 2026
8 hours (approximately)
Tanushree Roy's account is verified. Coursera certifies their successful completion of R Programming for Statistics and Data Science
What you will learn
Differentiate between data structures (vectors, matrices, data frames)
Conduct hypothesis testing and interpret statistical results
Assess the fit of linear regression models
Visualize data using ggplot2 for insightful presentation
Skills you will gain
- Category: Tidyverse (R Package)
- Category: Ggplot2
- Category: Data-oriented programming
- Category: R Programming
- Category: R (Software)
- Category: Statistical Visualization
- Category: Data Analysis
- Category: Exploratory Data Analysis
- Category: Plot (Graphics)
- Category: Statistical Programming
- Category: Regression Analysis
- Category: Data Manipulation
