On the afternoon of November 13, Hu Jianwei, dean of the School of Data and Statistics of Huangshan College, Liang Wenjuan, vice dean, Zhang Xiaoliang and Dong Chengang, four teachers visited the CDA inspection and discussion. Dr. Zhao Jianyi of Renmin University of China, one of the promoters of CDA digital talent certification, accompanied the inspection and discussion.

The two sides jointly discussed professional construction and talent training, course content and student training plans, especially cooperation in the field of data science. In the discussion, Dr. Zhao emphasized the integration of data analysis knowledge and skills in enterprise practice into teaching to improve students' employment competitiveness and social adaptability. At the same time, the enrollment of new majors and the direction of future cooperation were discussed, including the customization of course content and the arrangement of CDA certification examination.

President Hu expressed the necessity and development direction of cooperation with CDA for more than 3,000 colleges and universities across the country that have opened data-related majors. It emphasizes the combination of education and practical needs, and how to improve students' employment competitiveness through CDA certification. We discussed a variety of cooperation models such as certification examination, practical training, employment counseling, teaching platform application and enterprise internship projects to strengthen the cutting-edge and practicality of educational content and keep up with the industry trend. At the same time, it is also proposed that it is necessary to further explore specific cooperation models to realize the best plan for talent training.

Both sides agree that it is important to participate in the CDA exam in advance. With the progress of academics, the course arrangement will be more flexible. The discussion also mentioned the setting of computer professional courses, including programming languages (such as Python) and data science-related technologies (such as data structure and database principles), which shows the comprehensiveness of course design and the attention to the cultivation of practical ability. Both sides agreed that the course content covers a wide range of content, and it is necessary to further optimize the practical links to enhance students' practical work ability. And emphasize the application of business understanding and AI technology to meet the future market demand for composite talents. The development of AI technology may lead to the weakening of traditional programming positions. Therefore, focusing on the combination of business knowledge and AI intelligence is considered to be a more important development direction. At the same time, it emphasizes the shortage of business talents such as marketing and operation, reflecting the trend of equal emphasis on business ability and technical knowledge in future education. In the exchange, it was proposed that students should be encouraged to take CDA certification, and different levels of certification examinations should be carried out in stages according to students' mastery to improve employment competitiveness. It emphasizes the close relationship between professional education and actual needs.

This survey has laid a solid foundation for the cooperation between the School of Data and Statistics of Huangshan College and CDA in the professional fields of data science and big data technology. Both sides agree that by integrating data analysis knowledge and skills in enterprise practice into teaching, optimizing course content and strengthening practical links, students' employment competitiveness and social adaptability can be effectively improved. In the future, the two sides will further discuss specific cooperation models and promote the implementation of certification examinations, practical training, employment counseling and enterprise internship projects, so as to cultivate more composite talents that meet market demand.