The word "big data" has been everywhere, however, its concept is still confusing. Big data is used to carry various concepts, including: massive data, social media analysis, next-generation data management capabilities, real-time data and so on. Either way, enterprises have begun to understand and explore how to process and analyze a large amount of information in new ways. In academic circles, the application of big data has also attracted widespread attention. How to realize the breakthrough of research methods and contents of management learning with the help of big data is worth thinking about. This report will focus on the application of network big data, explain the concept of big data and how to use big data to track and study enterprise dynamics.
Dr. Angus Cheong founded Yi Yan Network Research Laboratory and Yi Yan Scheme Research Consulting Agency, and is also the founding member and current president of Macau Internet Research Association and Macau Public Opinion Research Association.
Dr. zhang has been engaged in research and teaching for 20 years, and his research fields cover public opinion survey, public consultation, data mining, network mining, information dissemination strategy, e-government research and so on. At the same time, he teaches public opinion and social science research methods and public opinion at the University of Macau and the Communication Department of Hong Kong Baptist University. She was awarded the Elizabeth Nelson Best Paper Award by the World Society for Public Opinion Research. In practice, the team led by Dr. Zhang has designed and implemented more than 100 practical research projects in Greater China, and currently focuses on the planning and implementation of smart city big data and commercial O2O solutions.
Dr. zhang is active in international academic circles. He is currently the chairman of the Asia-Pacific Internet Research Alliance (APIRA), the main member of the World Internet Project (WIP) (200 1 present) and the founding member of the Asian Internet Public Opinion Research (anpor) (200 12/present).
AD: On-the-job Training Course on Big Data and Cloud Computing of China Renmin University.
The study period is 2 years, during which the combination of theory with practice, classroom teaching and self-study is adopted. Class time is Saturday, Sunday or other free time. Designate teaching materials for students, stipulate required reading lists, and facilitate self-study. Arrange homework and computer homework reasonably. Every course has to be tested or evaluated.
Students in the advanced class of China Renmin University need to complete all courses in this major, and students who take the exam need to take the degree course exam organized by the school; Pass the national unified level examination organized by the state; Complete the writing and examination procedures of degree thesis.
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