BOOKS - Statistics for Data Science and Analytics
Statistics for Data Science and Analytics - Peter C. Bruce, Peter Gedeck, Janet Dobbins 2025 PDF | EPUB Wiley BOOKS
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Statistics for Data Science and Analytics
Author: Peter C. Bruce, Peter Gedeck, Janet Dobbins
Year: 2025
Pages: 366
Format: PDF | EPUB
File size: 30.7 MB
Language: ENG



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Book Description: The book "Statistics for Data Science and Analytics" provides a comprehensive overview of statistical methods and their applications in data science and analytics. It covers topics such as probability, statistical inference, and data visualization, and emphasizes the importance of understanding the underlying principles of statistics in order to effectively analyze and interpret data. The book also discusses the challenges and limitations of statistical analysis and the need for a personal paradigm for understanding the technological process of developing modern knowledge. Need to Study and Understand the Process of Technology Evolution: The rapid pace of technological advancement in today's world has led to an explosion of data, making it increasingly difficult to keep up with the sheer volume of information available. This has created a critical need for individuals and organizations to understand the process of technology evolution and how it impacts society. By studying and understanding the process of technology evolution, we can better appreciate the significance of statistics in data science and analytics and its role in shaping our understanding of the world around us. The Need and Possibility of Developing a Personal Paradigm: In order to survive in a rapidly changing technological landscape, it is essential to develop a personal paradigm for perceiving the technological process of developing modern knowledge. This involves recognizing the interconnectedness of technology and its impact on various aspects of life, including business, healthcare, education, and communication.
В книге «Статистика для науки о данных и аналитики» представлен всесторонний обзор статистических методов и их применения в науке о данных и аналитике. Он охватывает такие темы, как вероятность, статистический вывод и визуализация данных, и подчеркивает важность понимания основополагающих принципов статистики для эффективного анализа и интерпретации данных. В книге также обсуждаются проблемы и ограничения статистического анализа и необходимость личностной парадигмы для понимания технологического процесса развития современных знаний. Необходимость изучения и понимания процесса развития технологий: быстрые темпы технологического прогресса в современном мире привели к взрыву данных, что делает все более трудным идти в ногу с огромным объемом доступной информации. Это создало критическую потребность для отдельных лиц и организаций в понимании процесса эволюции технологий и того, как он влияет на общество. Изучая и понимая процесс эволюции технологий, мы можем лучше оценить значение статистики в науке о данных и аналитике и ее роль в формировании нашего понимания окружающего мира. Необходимость и возможность развития личностной парадигмы: чтобы выжить в условиях быстро меняющегося технологического ландшафта, необходимо разработать личностную парадигму восприятия технологического процесса развития современных знаний. Это включает в себя признание взаимосвязанности технологий и их влияния на различные аспекты жизни, включая бизнес, здравоохранение, образование и общение.
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