R Programming for Statistics and Data Science
Completed by Michael Tefera
January 27, 2026
8 hours (approximately)
Michael Tefera'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 Hypothesis Testing
- Category: Data Structures
- Category: Statistical Visualization
- Category: Data Analysis
- Category: Data Wrangling
- Category: Exploratory Data Analysis
- Category: Statistical Analysis
- Category: R (Software)
- Category: Statistical Modeling
- Category: Statistical Programming
- Category: Tidyverse (R Package)
- Category: Data Visualization
