What to study in the sports data analysis major: sports training theory and methods, wearable technology and biometrics, data visualization, sports data analysis methods and applications, data acquisition and pre-processing.

1, sports data analysis

This specialty cultivates moral, intellectual, physical and aesthetic all-round development, with good professional ethics and humanistic literacy, mastering the use of modern information technology for sports data capture, segmentation, synthesis, keyframe extraction, public **** sports service information collection and analysis of the professional Theoretical knowledge, production foundation and cutting-edge production technology.

With good graphic image processing ability, data editing ability, data analysis and development ability, engaged in athlete training data, sports competition data collection and analysis and processing, public **** sports service information collection and analysis and processing, urban sports space planning and design and other work of high-quality technical skills and application personnel.

2, cultivation goal positioning

This profession cultivates the all-round development of morality, intelligence, physical fitness and aesthetics, masters solid scientific and cultural foundation and knowledge of sports data analysis and collection, sports training theories and methods, and visualization of sports data, and possesses the ability to analyze sports data or the ability to practice, and has the spirit of craftsmanship and information literacy, and is able to engage in sports data analysis and collection, sports competition data collection and analysis and processing, and the work of urban sports spatial planning and design. High-quality technical skills personnel engaged in sports data analysis collection, sports competition data analysis and other work.

3, the main professional ability requirements

Have the ability to measure the amount of human dynamics characteristics; have the ability to collect common sports data indicators; have the ability to analyze the common sports data; have the ability to obtain the relevant data through the wearable equipment, biometric identification system terminals, etc.; have the ability to use spreadsheet tools and data analysis related software to complete data processing, data analysis and data analysis. data analysis related software to complete data processing and analysis; basic digital skills and information technology ability to adapt to the needs of sports digital development.

4, the main professional courses and internship training

Basic courses: probability theory and mathematical statistics, database applications, data science and big data technology introduction, the basis of exercise physiology, sports psychology principles and applications, physical training theory and methods. Professional Core Courses: Theory and Methods of Sports Training, Wearable Technology and Biometrics, Data Visualization, Methods and Applications of Sports Data Analysis, Data Acquisition and Preprocessing, Physical Fitness Testing and Assessment.

Internship training: docking real career scenarios or work situations, on- and off-campus practical training in sports data analysis, sports data acquisition and analysis, data analysis of intelligent sports systems. Job internships are conducted in sports training organizations, sports event operation enterprises, professional sports teams and other units.