R Programming for Statistics and Data Science
Completed by Abhishek Kanade
October 12, 2025
8 hours (approximately)
Abhishek Kanade'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: Programming Principles
- Category: Statistical Analysis
- Category: Statistical Methods
- Category: Data Manipulation
- Category: Statistical Modeling
- Category: Data Visualization
- Category: Data Analysis
- Category: Data Science
- Category: Statistical Hypothesis Testing
- Category: Probability & Statistics
- Category: Exploratory Data Analysis
