1, database management: the exam contains database structure, schema, SQL query statements and other knowledge points. Candidates master the basic operation of SQL, skillfully create, change, query database, operate Oracle, MySQL and other database systems, with the ability to solve database-related problems.
2. Data Analysis and Statistics: The exam includes knowledge of data analysis theory, data mining, statistical inference theory. Candidates have the basic ability to apply Excel, SPSS and other software for data analysis, and can design effective analysis methods according to the actual situation, mining valuable data, analyzing and predicting future development dynamics.
3, Knowledge Management: the examination content involves the relevant theories of knowledge management, candidates understand the concept of knowledge management, historical development, methodology, technology, etc., to be able to maximize the benefits of enterprise information resources to enhance the core competitiveness of enterprises.
4, Data Mining: the exam covers the theory of data mining, candidates master data mining techniques and their applications, such as correlation analysis, cluster analysis, time series analysis, etc., as well as the ability to collect, organize, mine the internal data of the enterprise, to provide decision-making support for the enterprise.
5. Big Data Technology: The exam covers the relevant theories of big data processing, candidates master Hadoop, Spark and other big data processing technologies, to be able to quickly process massive data, analyze various types of information within the enterprise, collect, organize, clean data, and improve the ability to analyze enterprise data.