R Programming for Statistics and Data Science
Completed by VIRAJ SHIVALE
October 11, 2025
8 hours (approximately)
VIRAJ SHIVALE'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 Programming
- Category: Regression Analysis
- Category: Programming Principles
- Category: Data Structures
- Category: Ggplot2
- Category: R Programming
- Category: Statistical Hypothesis Testing
- Category: Data Visualization
- Category: Data Transformation
- Category: Data Analysis
- Category: Data Science
- Category: Exploratory Data Analysis
