R Programming for Statistics and Data Science
Completed by Oxana Ceban Gaucher
April 5, 2025
8 hours (approximately)
Oxana Ceban Gaucher'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: Ggplot2
- Category: Statistical Programming
- Category: Regression Analysis
- Category: Data Structures
- Category: Tidyverse (R Package)
- Category: Statistical Analysis
- Category: Plot (Graphics)
- Category: Statistical Visualization
- Category: Statistical Methods
- Category: Statistical Modeling
- Category: Data Manipulation
- Category: Data Wrangling
