R Programming for Statistics and Data Science
Completed by Juan Ángel Pérez Córcoles
March 14, 2025
8 hours (approximately)
Juan Ángel Pérez Córcoles'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: Regression Analysis
- Category: Statistical Programming
- Category: Data Structures
- Category: Statistical Analysis
- Category: Statistical Methods
- Category: Statistical Modeling
- Category: R Programming
- Category: Tidyverse (R Package)
- Category: Exploratory Data Analysis
- Category: Data Science
- Category: R (Software)
- Category: Statistical Visualization
