R Programming for Statistics and Data Science
Completed by ASIF ALIYEV
September 10, 2025
8 hours (approximately)
ASIF ALIYEV'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: Ggplot2
- Category: Plot (Graphics)
- Category: Statistical Visualization
- Category: Statistical Analysis
- Category: Statistical Modeling
- Category: Statistical Methods
- Category: Tidyverse (R Package)
- Category: Statistical Hypothesis Testing
- Category: Data Visualization
- Category: Data Manipulation
- Category: R (Software)
- Category: Data Analysis
