General courses of applied statistics: advanced generation, geometry, mathematical statistics, multivariate analysis, sampling survey, real variable function, complex variable function, mathematical analysis, etc. Applied statistics mainly studies the basic theories and methods of statistics.

The introduction of applied statistics is as follows:

Applied statistics mainly studies the basic theories and methods of statistics, and can skillfully use computers to process and analyze a large number of data and solve practical problems in various fields. It mainly involves data analysis, data management, statistical investigation and so on.

Training objectives: this major has good professional ethics, systematic statistical knowledge, understanding statistical theory, mastering the basic ideas and methods of statistics, and the ability to analyze data with computer software.

High-quality compound statistical application talents who can work in economy, management, biology, medicine, finance, insurance, industry, agriculture, forestry, commerce, information technology, education, health, medicine, meteorology, water conservancy, environmental disaster reduction and other related fields.

Students in this major mainly study the basic theories, knowledge and skills of applied statistics.

Have good political, ideological, cultural, moral, physical and psychological qualities and a sense of social responsibility; Master solid basic knowledge of statistics, basic theories and systematic statistical thoughts; Master the methods of data collection, collation and analysis; Be able to use statistical software to analyze data and correctly interpret calculation results;

Familiar with professional knowledge in a certain field (such as economy, management, biology, medicine, finance, insurance, industry, agriculture, forestry, commerce, information technology, education, health, meteorology, water conservancy, environment and disaster reduction, etc.). ), and can comprehensively use the theoretical knowledge to solve practical statistical problems;

Have a high level of foreign language, master the basic methods of information inquiry, literature retrieval and obtaining relevant information by using modern information technology; Have the ability of self-study and further study; Strong organizational management, communication, environmental adaptation and teamwork skills.