The book introduces the fundamental principles of sampling and the associated statistical analysis. It emphasizes motivation and a clear description of the methods. After a general introduction, both model-based and design-based sampling methods, such as cluster sampling and stratified sampling, are developed. Each chapter concludes with the implementation of the methods using the R programming package. This enables readers to directly apply complex sampling methods in R. Each chapter of the book ends with a look at additional methods and practical issues.