Data Analysis Methods, edited by A. and . Rubana is a unique publication that opens up to readers the world of modern approaches to data processing and analysis. With the rapid growth of information and the need for its competent interpretation, this manual becomes an indispensable tool for students, graduate students, researchers and practitioners in the field of statistics, economics, sociology and many other disciplines. From the first pages, the authors immerse the reader in the fascinating world of data analysis, offering not only theoretical foundations, but also practical examples that make the material accessible and understandable. The book covers a wide range of methods, including classical statistical approaches, machine learning, and big data algorithms. Each section is filled with actual real-life examples, allowing readers to see how theoretical knowledge is applied in practice. This book will be of interest not only to specialists in the field of data analysis, but also to those who want to expand their horizons in modern technologies. Students studying mathematics, computer science or economics will find in it valuable knowledge that will help them in their studies and future careers. Professionals working in the field of marketing, finance or social research will evaluate the practical orientation of the publication, which will help them make more informed decisions based on data analysis. The topics raised in the book concern not only technical aspects of the analysis, but also ethical issues related to the use of data. In an environment where information is becoming more accessible, it is important to understand how to correctly interpret and use data to avoid manipulation and misunderstanding. The authors raise questions about privacy, security and responsibility, which makes the book relevant in a modern context. The style of presentation of the authors is clear and accessible, which allows readers to easily assimilate even the most complex concepts. Each chapter is logically structured and contains many illustrations, graphs and tables, which makes the learning process more visual and engaging. Methods of Data Analysis is not just a textbook, but a guide to the world of data that inspires further research and experiments. If you are interested in topics such as statistics, analytics, data processing, machine learning or just want to better understand how data affects our lives, this publication will be a real find for you. It will not only expand your knowledge, but also help develop the critical thinking necessary to analyze information in the modern world. Data Analysis Methods is an important step towards understanding the complex processes taking place in our information society. It will become a reliable assistant for both beginners and experienced professionals seeking to deepen their knowledge and skills in the field of data analysis. Do not miss the opportunity to discover new horizons and take a step into the future, armed with the knowledge that this wonderful publication offers.