1, cdallevel ⅰ: cdallevel ⅰ business data analysts need to master the theoretical basis of probability statistics, skillfully use a professional analysis software such as Excel, SPSS and SAS, have good business understanding ability, and can use common data analysis methods to process and analyze data according to business problem indicators to get logical business reports.
2. CDA Level II Level II: On the basis of Level I, it is required to master theoretical knowledge such as multivariate statistics, time series and data mining, master advanced data analysis methods and data mining algorithms, and skillfully use at least one professional analysis software such as SPSS, SAS, Matlab and R.
CDA Level 3: Data analysts need to master all the theoretical and technical requirements of CDA Level 2, as well as computer technology, software development technology, big data analysis architecture and enterprise strategic analysis methods, and can lead the team to effectively integrate and manage data on different topics. Have keen insight and judgment on industry, business and technology, and provide all-round data support for enterprise development.
Data analysts who want to take the exam can go to CDA Data Analysis and Certification Center to find out. CDA is a professional abbreviation for data analysis professionals facing the whole industry in the era of big data and artificial intelligence, especially a new type of data talents who specialize in data collection, cleaning, processing and analysis, and can make business reports and provide decisions in the Internet, finance, consulting, telecommunications, retail, medical care, tourism and other industries.