R Programming for Statistics and Data Science
Completed by Malika Arstan
September 17, 2026
8 hours (approximately)
Malika Arstan'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 Programming
- Category: Regression Analysis
- Category: Statistical Programming
- Category: Data-oriented programming
- Category: Statistical Modeling
- Category: Statistical Analysis
- Category: Statistical Methods
- Category: Data Science
- Category: Statistical Hypothesis Testing
- Category: Data Visualization
- Category: R (Software)
- Category: Statistical Visualization
