Dalian Institute of Technology Economics Management edited the textbook "Big Data and Business Analysis" officially published

In order to implement the requirements of the "First -class University Construction Plan for Dalian University of Science and Technology", further promote the work process of world -class universities and first -class disciplines, and highlight the core position of talent training in discipline construction, Dalian University "Big Data and Business Analysis" was fortunate to be selected as the first batch of graduate professional teaching materials construction projects in the school. Professor Guo Chonghui team of the School of Economics Management finally completed the manuscript after three years and was printed and published by Science Publishing House.

Professor Guo Chonghui is currently the founding director of the Big Data and Intelligent Decision Research Center of Dalian University of Technology. The main research direction is big data analysis and mining, complex system modeling and optimization, and intelligent decision theory and methods. In 2017, Professor Guo Chonghui issued the "Big Data Introduction" course for the undergraduate students of the School of Economics and Management. In the daily teaching facing business students, Professor Guo Chonghui feels that big data is a basic strategic resource. Its application and innovation urgently require a lot of composite talents who understand both big data technology and economic management. Management and application to achieve its commercial value. Therefore, writing a universal textbook for "big data and business analysis" has become the main work content of Professor Guo Chonghui's team to implement.

The book "Big Data and Business Analysis" comprehensively interprets the era background, basic concepts, model algorithms and cutting -edge technologies of big data and business analysis, so that readers can have a clearer understanding of big data and business analysis fields. There are 9 chapters in the book. The main contents include big data introduction, business analysis foundation, big data management, data pre -processing, data exploration analysis, descriptive data analysis, predictive data analysis, standardized data analysis, and non -structured data analysis.

This book can be used as undergraduate textbooks such as big data management and applications, data science and big data technology, information system and information management, and can also be used as graduate courses in related majors such as management science and engineering, industrial and commercial management, as well as The textbooks for "New Engineering", "New Business" and "New Liberal Arts" are also available for reading reference for people engaged in information technology -related work.

News source: Dalian University of Technology News Network

Edit: Hu Xiaomeng

School pair: Zhu Zhouqi Yu Jiawen

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