The book "Computational methods of processing experimental data" under the authorship of C. P. Dudarova and the team of authors is a unique textbook that will become an indispensable assistant for students, graduate students and anyone interested in data processing in scientific research. This work covers a wide range of computational methods that are applied in various fields of science and technology, and offers readers not only theoretical foundations, but also practical recommendations for their application. In today's world, where data is becoming the basis for decision-making in a wide variety of fields, from medicine to economics, the ability to correctly process and analyze experimental data is becoming an important skill. Dudarov's book helps readers master this skill by offering an accessible and understandable explanation of methods that may seem difficult at first glance. You will be able to learn about various data processing algorithms, statistical methods and software tools that will help you in your scientific activities. This manual will be especially useful for students of technical and natural sciences, graduate students and young scientists who are just starting their way in the world of scientific research. If you study physics, chemistry, biology or engineering, then this publication will become for you a real guide to the world of computational methods. Even if you are not a specialist in the field of data processing, but want to expand your knowledge and skills in this area, Dudarov’s book will help you understand complex concepts and teach you how to apply them in practice. The topics raised in the book cover a wide range of topics, from the basics of statistics to complex machine learning methods. The author’s team pays attention to both traditional methods and modern approaches, which allows readers to get a complete picture of the current state of science in the field of data processing. The book also includes examples of real-world research, which makes the material more visual and understandable. Readers will be able to see how theoretical knowledge is applied in practice, which will certainly increase their interest in the material being studied. Style of writing C. P. Dudarova and his colleagues are distinguished by clarity and accessibility . The authors seek to convey complex ideas in simple language, which makes the book suitable for both beginners and more experienced researchers. This manual will be an excellent addition to other well-known works of the author, such as “Methods of mathematical statistics” and “Fundamentals of experimental physics”, which also earned recognition in the scientific community. If you are looking for literature on computational methods, data processing, statistics or scientific research, then “Computational methods of processing experimental data” will be a real find for you. This book will not only enrich your knowledge, but will also help you develop skills that will be useful in your future career. Do not miss the opportunity to immerse yourself in the world of science and technology with this fascinating and informative guide