Beginner-friendly approach: Enables users to learn R programming from the ground up
Comprehensive coverage: Includes R programming, data manipulation, visualization, and advanced topics like supervised learning
No prior statistical knowledge required: Makes the content accessible to a wide audience
Practical examples: Helps readers apply concepts to real-world problems
Suitable for all ages: Designed for both students and professionals
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Interested in statistical computing ?
R Programming: Data Analysis and Statistics is a beginner-friendly book. It is written in an accessible way, and deal with the basics as well as more complex problems. No prior statistical knowledge is required.