| Author | Ramon Hernandez |
| Publisher | Independent Publication |
| Year | 2020 |
| Language | English |
| Pages | 175 pages |
| Size | 2.51 MB |
| Extension |
Summary
R with RStudio for Introductory Statistics is a beginner-friendly guide designed to bridge the gap between statistical theory and practical applications using R, one of the most popular open-source programming languages for data analysis. Ramon Hernandez introduces readers to the fundamentals of descriptive and inferential statistics, while simultaneously teaching them how to implement these concepts in RStudio. The book covers essential topics such as measures of central tendency and variability, probability distributions, hypothesis testing, correlation, and regression. Each concept is reinforced with hands-on exercises and clear R code examples. By working directly in RStudio, readers gain not only statistical knowledge but also computational literacy, preparing them for academic projects, research, or professional data analysis tasks. Unlike traditional statistics textbooks, this resource emphasizes reproducibility and real-world applications, ensuring that learners can apply what they learn to practical datasets. Whether you are a student encountering statistics for the first time or a professional seeking to build quantitative skills, this book offers a solid foundation for further exploration of data science and analytics.
Key Features
- Comprehensive introduction to both statistics and the R programming language.
- Step-by-step guidance on using RStudio as a development environment for analysis.
- Covers core statistical topics including descriptive statistics, probability, and regression analysis.
- Includes practical examples and exercises with real-world data applications.
- Emphasizes reproducibility and best practices in statistical computing.
- Suitable for students, educators, and self-learners with no prior programming background.
About Author
Ramon Hernandez is an educator and data science practitioner with years of experience teaching statistics and data analysis. His focus has been on making complex concepts accessible to learners from non-technical backgrounds. Through his teaching and writing, Hernandez has helped students and professionals develop confidence in quantitative reasoning and computational tools. With R with RStudio for Introductory Statistics, he provides a structured path for mastering both fundamental statistics and applied R programming in an engaging and practical way.
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Frequently Asked Questions
Q: What can I learn by reading this book ?
A: You will learn the fundamentals of statistics along with practical R programming skills, enabling you to conduct real-world data analysis and interpret statistical results effectively.
Q: This book is suitable for beginners?
A: Yes, it is designed for beginners with no prior background in programming or advanced mathematics. It starts from the basics and gradually builds complexity.
Q: This book is recommended for professionals?
A: Professionals who want to strengthen their statistical foundations or learn R for applied data analysis will also find it valuable as a quick, practical resource.
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