This is an era that uses data to speak, and it is also an era that relies on data to compete. In October 2020, the " Recommendations of the Central Committee of the Communist Party of China on Formulating the Fourteenth Five-Year Plan for National Economic and Social Development and Long-Term Goals for 2035" emphasized: " Accelerate digital development. Develop digital economy and create international competitiveness. Digital industry cluster. Improve the digital skills of the whole people, and actively participate in the formulation of international rules and standards in the digital field." The 2019 World Artificial Intelligence Conference announced that the national AIamp; big data talent demand is growing rapidly, about 12 times that of 4 years ago. Research by McKinsey & Company predicts that the talent gap for managers and analysts who can use big data analysis to make effective decisions is as high as 1.5 million. The requirements of the national development strategy, the shortage of job talents and the drive of the market size all reflect the importance of the data analyst profession from different aspects .

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 the era of artificial intelligence. It aims to enhance the digital skills of the whole people and help the digital transformation of enterprises. Promote the digital development of the industry.

"CDA data analyst " specifically refers to a new type of data analysis talent who specializes in data collection, cleaning, processing, and analysis in the Internet, finance, retail, consulting, telecommunications, medical, and tourism industries, and can produce business reports and provide decision-making. Global CDA holders are adhering to the new concept of advanced business data analysis, following the new norms of the "CDA Data Analyst Professional Ethics and Code of Conduct", exerting their own data science expertise, promoting technological innovation and progress, and helping the sustainable development of the economy.

On January 5, 2021, the CDA Data Analyst Test Center officially released a new version of the test syllabus !

1. Introduction to the new version of CDA certification

"CDA Data Analyst Certification" is a set of scientific, professional and international talent assessment standards. It is divided into three levels: CDA LEVELⅠ, LEVEL Ⅱ, and LEVEL Ⅲ. The industries involved include Internet, finance, consulting, telecommunications, and retail. , Medical, tourism, etc., involving positions including big data, data analysis, market, product, operation, consulting, investment , research and development
CDA talent capacity model, etc. This standard is in line with the current global data science and technology trend, and can provide data talent reference standards for enterprises and institutions in various industries. The CDA data analyst industry standard is jointly formulated by industry experts, scholars and well-known companies in the field of data science on a global scale and revised and updated annually to ensure the publicity, authority, and cutting edge of the standard. Those who pass the CDA certification exam can obtain the CDA data analyst certification in Chinese and English.

2. CDA talent capability model

3. New CDA outline system and proportion

View the latest exam outline:

" CDA LEVEL I Exam Outline"

" CDA LEVLE II Exam Outline"

6. Summary of the revision of CDA certification

The purpose of this revision:

In the context of the digital economy, the digital application field has gradually expanded from the early point-based computing-intensive applications to data-intensive comprehensive innovations that provide end-to-end value chain services. The industry’s understanding of data analysis has changed from decision-making reference to The main value driver. Therefore, the "industrial" transformation of data analysis is imperative. The CDA data analyst industry talent standard is jointly formulated by industry experts, scholars and well-known companies in the field of data science on a global scale and revised and updated every year, ensuring the publicity, authority, and cutting edge of the standard. In order to enhance the digital skills of the whole people and accelerate the development of digitalization, the new version of the CDA talent system is more in line with the needs of the times.

Unified standard title:

The CDA LEVEL I, II, and III levels remain unchanged, but the Chinese titles of “ Business Data Analyst ” , “ Modeling Analyst ” , “ Big Data Analyst ” , and “ Data Scientist ” have been removed . The CDA unified standardized title is Certified Data Analyst , Namely "CDA Data Analyst ", each level can correspond to the relevant job title, see Table 1 above for details.

Focus more on "data analysis" :

CDA LEVEL II merges the original big data and modeling directions, and "data analysis" includes big data and small data. In the original LEVEL II and LEVEL III outlines, “big data platform, engineering, architecture”, “computer science”, “data governance”, “project management”, “artificial intelligence” and other contents have been deleted. Such contents do not directly belong to The scope of work of a "data analyst". Follow-up will develop and launch an independent standard system for big data and artificial intelligence talents.

Explanation of each level in the new version:

CDA L EVEL I: Positioning in the workplace data thinking and general data skills that everyone needs, with the characteristics of low learning threshold, wide application scope, and many applicable positions. Compared with the previous version of the content, some statistical predictions and related content of mining algorithms are reduced, and a lot of data analysis skills at the business application level have been added, so that many business people who need to deal with data can obtain timely data from scattered and complex data. Find business problems in the process, further improve business processes and optimize business behaviors, so as to use the power of data analysis to create greater business value for themselves and the company.

CDA LEVEL II: Positioning in the necessary data analysis process and skills in the digital development of enterprises. The new version of the content integrates the original statistical forecasting and data analysis models in the first level, adds a data analysis process model, and EDIT digital working methods, so that the holders not only have the standard skills for data a