R Programming for Statistics and Data Science
Completed by Merve Basaranbilek
August 25, 2025
8 hours (approximately)
Merve Basaranbilek'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 Modeling
- Category: Statistical Methods
- Category: Data-oriented programming
- Category: Data Structures
- Category: Statistical Programming
- Category: Ggplot2
- Category: Data Manipulation
- Category: Data Wrangling
- Category: Tidyverse (R Package)
- Category: Plot (Graphics)
- Category: Statistical Analysis
- Category: Statistical Hypothesis Testing
