The book "Mathematical methods of processing experimental data: a textbook for practical classes" edited by A. In. Chikhranova is not just a textbook, but a real find for students, graduate students and anyone who seeks a deeper understanding of the world of quantitative research. It gathers all the necessary knowledge and skills that will help you confidently navigate the complex world of experimental data, as well as learn how to use mathematical methods to analyze them. From the first pages, the reader is immersed in an exciting journey through mathematical concepts and methods that are the basis for the processing of experimental data. The book covers a wide range of topics, ranging from the basics of statistics to more complex methods of analysis, such as regression analysis and methods of multidimensional statistics. Each chapter is designed to not only explain the theoretical aspects, but also to offer practical tasks that will help to consolidate the knowledge gained. This manual will be especially useful for students of technical and natural science specialties, as well as for anyone who is engaged in scientific research and wants to learn how to correctly process and interpret data. If you are interested in topics such as statistics, data analysis, experimental physics or biology, then this book will be your reliable assistant. One of the key features of this tutorial is its practical focus. The authors offer many examples from real practice, which makes the material accessible and understandable. You will be able to see how theoretical concepts are applied in practice, which greatly facilitates the learning process. The manual also presents tasks that will help you to develop data processing skills on your own, which is an integral part of the learning process. The topics raised in the book cover not only mathematical methods, but also important aspects related to data quality, pre-processing and visualization. This is especially true in today's world, where the amount of data is growing every day, and the ability to work with them becomes a necessary skill. The authors emphasize the importance of choosing the right methods of analysis depending on the specifics of the data and the goals of the study. The style of writing the book is clear and accessible, which makes it ideal for both self-study and for use in the educational process. Chikhranov and his team of authors skillfully balance between theory and practice, which allows the reader not only to understand, but also to love mathematics as a tool for solving real problems. If you are looking for literature that will help you master mathematical methods of data processing, “Mathematical methods of processing experimental data” will be a real treasure for you. This guide will not only expand your knowledge, but also inspire new research and discoveries in the field of science. The book will be of interest not only to students, but also to teachers, researchers, as well as everyone who works with data in various fields. It will be a great addition to your library and will help you confidently walk the path of scientific knowledge. Do not miss the opportunity to immerse yourself in the world of mathematics and discover new horizons in the processing of experimental data!