The book "Spectral analysis of time series in MICROSOFT EXCEL" is a unique publication created by a team of authors that immerses the reader in the world of data analysis with one of the most popular tools - Microsoft Excel. This work will become an indispensable assistant for both students and professionals seeking to master the methods of spectral analysis and apply them in their research or business projects. Spectral analysis is a powerful tool that allows you to identify hidden patterns and trends in data that may not be obvious at first glance. The book discusses in detail the methods of time series processing, which makes it especially relevant for specialists in statistics, economics, finance and many other disciplines where data analysis plays a key role. Readers will be able to learn how to use Excel to analyze time series, identify cycles and trends, and make predictions based on the data received. Who can like this book? First of all, it will be of interest to students and graduate students studying statistics, econometrics or related disciplines . It will also be useful for analysts, researchers and specialists working with large amounts of data and seeking to improve their skills. Even if you’re just starting out in data analysis, the book offers an accessible explanation of complex concepts, making it ideal for beginners. The topics raised in the book cover a wide range of issues related to time series analysis. The authors pay attention to both theoretical foundations and practical aspects, which allows readers not only to understand how different methods work, but also to apply them in practice. An important aspect is the use of Microsoft Excel, which is an affordable tool for most users. This makes the book especially valuable: you can immediately apply the knowledge gained in your work without resorting to complex software. The style of the authors is clear and accessible, which makes it easy to digest even the most complex topics. Each section of the book contains practical examples and tasks that will help to consolidate the material. This makes reading not only informative, but also a fascinating process. The authors also share their personal experiences and advice, which gives the book special value. If you are looking for data analysis literature, you may also be interested in books such as “Data Analysis with Python” or “Statistics for Business and Economics” These works will help to expand your knowledge and skills in related fields, which will be useful for a deeper understanding of spectral analysis. The book “Spectral analysis of time series in MICROSOFT EXCEL” is not just a textbook, but a real guide to the world of data . It is able to inspire and equip the reader with the necessary tools to successfully analyze and interpret time series. Do not miss the opportunity to immerse yourself in the exciting world of statistics and data analysis, which opens up new horizons and opportunities for you.