First of all, why do we have such courses?
"In the era of big data, the connotation of information is not only news, but all kinds of data. The media industry is an important user of data. In the Internet era, almost everything, including media operation and news practice, cannot be separated from big data and data mining."
In the context of this era of big data, we set up such courses.
The speaker of this series of courses is Professor Shen Hao from the School of Journalism, Communication University of China. He has been engaged in communication effect research and market research for a long time and has more than 20 years of experience in statistics and data analysis. He is a senior expert proficient in a variety of statistical analysis techniques and communication research methods. Ms. Shen is good at data mining, social network analysis, multivariate analysis and modeling, and data visualization. In recent years, Mr. Shen and his team focus on big data mining, network science and visualization research, especially after the rise of social media such as Weibo and wechat, focusing on public opinion analysis and communication effect research based on Weibo network, and gradually become a big data expert with certain influence in China. As a result, the presenter of this course is able to provide a more professional perspective when delivering these courses.
The course content of Media Big Data Mining and Case Practice covers the main aspects of "big data", including data acquisition, text analysis, network analysis, data mining and big data visualization. It is divided into 6 parts from the main setting of the course content, and each part contains different chapters according to the amount of teaching content. The time of each chapter is generally controlled within 5-30 minutes. Generally speaking, the content is rich and the total class hours are 16, which meets the teaching needs.
In addition, in the course content of Media Big Data Mining and Case Practice, on the one hand, "big data" and "media" are linked together. In addition to teaching the relevant content of big data itself, it will also integrate its application and development in the media industry, so that students of our school can expand in more professional directions. On the other hand, it focuses on case practice. Through case and practical operation, students can quickly master data acquisition technology, data analysis technology and data visualization technology. Even for students from different majors, the explanation and demonstration of cases can also make students understand the implementation process of the above technologies, perceive the application scenarios of big data technology in their own majors, and enrich students' learning fields. Bring more thinking.
