Data Analysis . Mathematical Methods of Data Analysis”, written by a team of authors, is a fascinating and deep dive into the world of data analysis, which in recent years has become an integral part of many areas - from business and medicine to social sciences and engineering. This work will become an indispensable assistant for both novice professionals and experienced analysts seeking to expand their knowledge and skills in this dynamically developing field. In today's world, where data volumes are growing every day, the ability to properly analyze and interpret information is becoming critical. The book covers a wide range of mathematical methods used for data analysis, including statistical models, machine learning methods, and data processing algorithms. The authors, having rich experience in their fields, share not only theoretical foundations, but also practical examples, which makes the material accessible and understandable to the reader. This book will especially appeal to undergraduate and graduate students studying mathematics, statistics, computer science, and related disciplines. It will also be useful for professionals working in the field of analytics, marketing, finance and other areas where large amounts of data processing and analysis are required. If you are interested in how data can help in decision-making, how to identify patterns and make predictions, then this publication will be a real find for you. The topics raised in the book cover many aspects of data analysis. The authors consider both classical methods, such as regression analysis and time series analysis, and modern approaches, including deep learning methods and neural networks. Each chapter is filled with relevant examples and tasks, which allows the reader not only to learn the theory, but also to apply it in practice. The book also addresses issues of ethics in data analysis that are becoming increasingly important in today's world. The style of the authors can be described as accessible and informative. They aim to make complex mathematical concepts understandable to a wide audience, making the book an ideal choice for self-education. The team of authors includes both experienced scientists and practitioners, which gives the work a unique balance of theory and practice. This allows readers not only to get acquainted with the basics, but also to delve into more complex topics, which makes the book useful in the long term. If you are looking for data analysis literature that will help you master mathematical methods and learn how to apply them in practice, then “Data Analysis. Mathematical methods of data analysis” will be an excellent choice for you This book will inspire you to new discoveries and help you develop skills that will be relevant in any field related to data. Do not miss the opportunity to immerse yourself in the world of data analysis and discover new horizons that will open up to you thanks to the knowledge gained from this book.