Probability Theory and Mathematical Statistic for Applications in Data Analysis. Textbook

Об издании

The textbook «Probability Theory and Mathematical Statistic for Applications in Data Analysis» prepares readers for successful operation with information as a part of contemporary data science. The productive formation and development of the digital economy is impossible without the ability of specialists to operate competently and effectively with a continuously incoming stream of digital statistical data. To process such data and to make management decisions based on the data, skills and abilities of both technical and theoretical levels are required, that allows to carry out generalizations and make conclusions based on the information received. The textbook discusses step by step traditional topics of courses in probability theory and mathematical statistics as a theoretical foundation for data analysis. All course questions are considered with application of statistical functions and the Excel data analysis package. The course is supplemented with examples, tasks and test questions for self-examination. The textbook includes 20 chapters, an introduction and conclusion. The textbook can be used by students and lecturers of universities (in particular, the Financial University under the Government of the Russian Federation) in the course of «Data Analysis» (disciplines of the basic part of the mathematical cycle of disciplines, for a field of study 38.03.01 «Economics», study programs (concentrations): «International Finance» ( in English), «International Trade and Taxation» (in English), «World Economy and International Business» (with partial implementation in English), «World Finance» (with partial implementation in English), «International Business of Energy companies» (with partial implementation in English), level of study: bachelor's degree programs.

Библиографическая запись

Pyrkina, O. E. Probability Theory and Mathematical Statistic for Applications in Data Analysis : textbook / O. E. Pyrkina. — Москва : Прометей, 2023. — 582 c. — ISBN 978-5-00172-475-9. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/153728.html (дата обращения: 03.09.2025). — Режим доступа: для авторизир. пользователей