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: R (Software)
- Category: Data Analysis
- Category: Data Science
- Category: Statistical Hypothesis Testing
- Category: Exploratory Data Analysis
- Category: Statistical Modeling
- Category: Statistical Methods
- Category: Data Visualization
- Category: Plot (Graphics)
- Category: Data Manipulation
- Category: Data Wrangling
- Category: Data Structures
