What do you think?
Rate this book
R Programming for Data Science: Analyzing and Visualizing Data with R
This book serves as a comprehensive guide to using R for data science. It covers a wide range of topics,
- Essential concepts in data science
- Fundamentals of the R programming language
- Data manipulation techniques using dplyr
- Advanced topics such as data visualization with ggplot2
- Statistical modeling
- Machine learning
Key features of the book
- Hands-on tutorials and practical examples for analyzing and visualizing data
- Numerous code examples in each chapter to illustrate key concepts
- A special chapter titled "Glossary" to clarify important terms and definitions
This guide is designed to provide a thorough understanding of how to leverage R for data science, making it an invaluable resource for both beginners and experienced practitioners.
- Essential concepts in data science
- Fundamentals of the R programming language
- Data manipulation techniques using dplyr
- Advanced topics such as data visualization with ggplot2
- Statistical modeling
- Machine learning
Key features of the book
- Hands-on tutorials and practical examples for analyzing and visualizing data
- Numerous code examples in each chapter to illustrate key concepts
- A special chapter titled "Glossary" to clarify important terms and definitions
This guide is designed to provide a thorough understanding of how to leverage R for data science, making it an invaluable resource for both beginners and experienced practitioners.
208 pages, Paperback
Published June 8, 2024
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
No one has reviewed this book yet.