CDA Certification Center

Digital talent certification standards -Connecting enterprises and people in the digital age

CDA (Certified Data Analyst), or "CDA Data Analyst", is a professional and authoritative international qualification certification for the entire industry under the background of the digital economy and the trend of artificial intelligence era. It aims to improve the public digital skills, help the digital transformation of enterprises, and promote the digital development of the industry.

Level Ⅰ Exam outline Level II Exam outline Level III Exam outline
CDA Professional Ethics and Code of Conduct

"CDA Professional Ethics and Code of Conduct" is based on the CDA values (openness, innovation, sharing). It has formulated standardized standards for data science practitioners in two aspects: ethics and professional behavior, and is committed to becoming A model for measuring the professional level of talents in the global data science industry.

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LEVELS OF CDA CERTIFICATE

Levels of CDA Certificate

CDA LEVEL I

workplace data thinking and general data skills that everyone needs
Scope
- Zero-based employment transfer, fresh graduates
- Product, operation, marketing and other business positions and R&D and technical positions incumbents
- Enterprise founders, managers, and management consulting job practitioners
Job direction

Business analystsjunior data analysts
(data) product operations(digital) marketing
data specialistsetc
Exam Outline
CDA LEVEL II

Necessary data analysis process and skills in enterprise digital development
Scope
- Incumbents in data analysis related positions in product, operation, marketing and other business departments and R&D, middle office, and technical departments
- Founder of digital transformation company and the person in charge of digital process
Job direction

data analyst(data) product operation manager
(digital) marketing managerrisk control modeling analyst
quantitative strategy analystdata governance (quality)etc
Exam Outline
CDA LEVEL III

Advanced data analysis methods and technologies necessary for digital development of enterprises
Scope
- Business and technology related positions engaged in data analysis, data mining, machine learning and other technical in-job promotion
- Researchers, analysts and engineers engaged in algorithm science, deep learning, etc
Job direction

senior data analystmachine learning engineer
algorithm engineerdata scientist
chief data officeretc
Exam Outline

Development Event More +

CDA data analyst talent standards are officially recognized and publicized

CDA data analyst talent standards are of: CDA data analyst talent standards landed on the national standard information public service platform In January 202

1, the CDA Data Analyst Talent Standard ("Data Analyst Competence Training Standard", hereinafter referred to as the "standard") has become the corporate standard in the