Lee Ki-jae et al.: Introduction to Data Information Processing (26-1 semester, workbook included)

This book is broadly composed of three parts. Part I, titled "Information and Computers," covers the foundational tasks for data analysis. Chapter 1 briefly introduces basic concepts and software for data analysis, while Chapter 2 outlines methods for data input and verification. Chapter 3 covers how to utilize statistical information via the Internet and introduces descriptive statistics. Chapter 4 outlines document creation methods using Hangul 2018, providing guidance on how to write reports. Studying Part I is expected to provide a comprehensive understanding of how to utilize computers. Part II, "Data Analysis Using Excel," covers Chapters 5 through 7, introducing data analysis methods widely used in general business applications through Excel's basic functions, graph creation using chart features, and practical examples. Part III, "R and Python," introduces data processing and analysis methods using R and Python. R is an excellent data analysis system featuring extensive statistical analysis capabilities and diverse graphics functions, as well as a programming language that allows users to develop their own analysis systems. Python is a programming language widely used in the fields of machine learning and deep learning, and due to its simple syntax and program extensibility, it is establishing itself as an introductory language for starting computer programming. Both R and Python can be downloaded and used for free from the web.

Korean title: 데이터정보처리입문(26-1학기, 워크북포함)

Korean author: 이기재 외

Korean publisher: 한국방송통신대학교출판문화원

ISBN-13: 9788920038167