R Programming for Statistics and Data Science
Completed by Orkhan Rajabli
January 15, 2026
8 hours (approximately)
Orkhan Rajabli'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: Exploratory Data Analysis
- Category: Data Transformation
- Category: Programming Principles
- Category: R (Software)
- Category: Data Analysis
- Category: Data Science
- Category: R Programming
- Category: Statistical Programming
- Category: Data Structures
- Category: Statistical Hypothesis Testing
- Category: Data Visualization
