R Programming for Statistics and Data Science
Completed by Ashraf Pathan
October 12, 2025
8 hours (approximately)
Ashraf Pathan'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: Statistical Methods
- Category: Tidyverse (R Package)
- Category: Data Structures
- Category: Ggplot2
- Category: Data-oriented programming
- Category: R (Software)
- Category: Data Analysis
- Category: Exploratory Data Analysis
- Category: Statistical Modeling
- Category: Statistical Visualization
- Category: Statistical Hypothesis Testing
- Category: Statistical Analysis
