R Programming for Statistics and Data Science
Completed by Priya Dash
November 9, 2025
8 hours (approximately)
Priya Dash'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: Data Wrangling
- Category: Statistical Programming
- Category: Ggplot2
- Category: Tidyverse (R Package)
- Category: Data-oriented programming
- Category: Exploratory Data Analysis
- Category: R (Software)
- Category: Statistical Visualization
- Category: Statistical Methods
- Category: Statistical Analysis
- Category: Data Analysis
- Category: R Programming
