In order to thoroughly implement a series of important instructions on the work of skilled personnel and promote the implementation of the national big data strategy, under the joint guidance of the Ministry of Education's Higher Education Statistics Education Steering Committee and the Ministry of Education's Applied Statistics Master Professional Steering Committee, the China Science and Technology Journalism Society The Big Data Special Committee and the Beijing Big Data Association decided to launch the second National College Students Big Data Analysis Technical Skills Competition.
The competition adheres to the concept of openness and fairness, innovates the form of the competition, improves the quality of the competition, promotes the results of the competition, realizes the promotion of learning, teaching and construction through the competition, and promotes the establishment and improvement of multi-level and multi-type big data talents Training and evaluation system.
The content of the competition is based on the "Occupational Technical Skills Standards for Big Data Analysts" (National Group Standards, T/BBDA 001-2021) (hereinafter referred to as the standards) and the examination outline formulated by the Beijing Big Data Association, requiring students to master the basics of data analysis , data analysis professional laws, regulations, ethics and other knowledge; assess students' ability to use data analysis tools for data acquisition, transformation, cleaning, analysis, visualization, and writing analysis reports. The proposition of the competition will restore the actual application scenarios in depth, and improve students' practical and job competence.
The provincial competition stage focuses on the contestants' mastery of the basic literacy of big data analysis and the operation of the basic skills of big data analysis, using specific methods such as selection, filling in the blanks and practical operations; the national final stage focuses on the comprehensive use of big data analysis by the contestants Ability, in the form of submitted works.
Excel data analysis is suitable for students of all majors, and Python data analysis is suitable for students majoring in computer information, statistics, big data and other majors with Python programming foundation.
Beijing Big Data Association is a non-profit social organization established on April 16, 2016 and approved and registered by the state administrative agency, initiated by institutions of higher learning, scientific research departments, and enterprises and institutions engaged in big data and data science research and practice. The competent unit is the Beijing Municipal Bureau of Statistics. The purpose of the association: to popularize data science and realize the value of data. The business scope of the association includes: conducting professional seminars in the field of big data, popularizing science, promoting the application and promotion of scientific research results, professional training, foreign exchanges, consulting services, group certification, etc. The association has professional committees such as Comprehensive Evaluation, Yuan Universe, Chief Data Officer, and Taxation Big Data.
The competition is divided into two stages, the provincial competition and the national finals. Each stage of the competition will award the participating students, school organizations, instructors and team leaders according to the specified groups and competition items. 1. The score of the provincial competition reaches 70 points and Above: contestants in the higher vocational group, undergraduate group and graduate group can be exempted from taking the Beijing Big Data Association Primary Data Analyst Certificate Exam Subject 1; Obtained the junior data analyst certificate issued by Beijing Big Data Association.
The following is the registration notice for the 2nd National University Student Big Data Analysis Technical Skills Competition (stamped document)
Participating in the data analysis competition has the following meanings: Improve skills and knowledge: The data analysis competition is an excellent opportunity to exercise data analysis skills. By participating in the competition, you will have the opportunity to practice and apply various data analysis techniques and tools to improve your skill level. In addition, you can communicate and share experiences with other contestants, and learn new data analysis methods and ideas from them. Increase practical experience: By participating in the data analysis competition, you can get in touch with data problems in the real world and try to solve these problems. This will help you better understand the value and role of data analysis in practical applications, and improve your ability to deal with data analysis challenges in practical work. Enrich your resume: Participating in data analysis competitions is a way to highlight your data analysis skills. Achieving excellent grades or winning competitions can add flair to your resume and attract the attention of employers. This will help you find better job opportunities in the field of data analysis. Get rewards and recognition: Get good grades in data analysis competitions, and you will have the opportunity to win bonuses, prizes, or other forms of rewards. In addition, being recognized by the competition will also increase your reputation and visibility in the field of data analysis. Network expansion and cooperation opportunities: By participating in the competition, you will have the opportunity to meet other outstanding data analysts and industry experts. These connections can be very helpful for your professional development and learning. In addition, you may form partnerships with other contestants to carry out more data analysis projects together.
To sum up, participating in the data analysis competition is of great significance for improving personal skills, increasing practical experience, enriching resumes, obtaining awards and recognition, and expanding contacts and cooperation opportunities.