Mission&Vision

Our Mission
Our mission is to connect businesses and people in the digital age! We continue to create value for digital talent, collaborate deeply with various industries, and accelerate the digital transformation and development of global enterprises; we promote the establishment of ethics, market integrity and professional practice standards, and jointly contribute value to society.

Our Vision
Our vision is to provide services to all professionals seeking digital related education, knowledge and career development. CDA Institute aims to establish a universally recognized standard for data science talent across the community, leading the way for excellence in mindset and methodology in data ethics, data security and digital practices across all industries.

Our Values
Our cultural values guide our actions and link us together in the pursuit of our mission.

Forward: Keep up with the technological development tide of the times and constantly explore the best algorithms, the most automated solutions and the most intelligent technologies

Certain: From uncertainty to certainty, from empirical judgment to data decision-making, we constantly explore and grasp the certainty of everything as much as possible.

Real: Real data does not lie, we insist on the persistent pursuit of real data, and only real data can create value.

Secure: Excessive misuse of data violates personal privacy and harms everyone's interests. Data security becomes an important event that concerns everyone.

Frontier keeps us ahead; Certainty keeps us on target; Reality keeps us demanding；Security keeps us alert.

CDA, also known as “Certified Data Analyst”, is the abbreviation of the talent holding the professional job qualification associated with data analysis for all industries under the trend of the era, big data and AI. Since 2013, CDA certificate holders are distributed in all walks of life around the world, including Fortune Global 500, top-notch sci-tech unicorns, large financial institutions, state-owned enterprises and public institutions and state administrative organs, etc. The talent team of “CDA Certified Data Analyst” adheres to the CDA Professional Ethics and Code of Conduct and performs the professional skills on data science. It has become the core strength of the fast developing science and technology.

Certification Standard

"CDA Data Analyst Certification" is a set of scientific, professional and international talent assessment standards, divided into three levels: CDA LEVELⅠ, LEVEL Ⅱ, and LEVEL Ⅲ , The industries involved include the Internet, finance, consulting, telecommunications, retail, medical, tourism, etc., and the positions involved include big data, data analysis, marketing, products, operations, consulting, investment, research and development, 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.

CDA certification level standard talent ability model table is as follows:

Exam Outline

• CDA LEVEL I

  CDA Level I includes the following subjects: Professional ethics and integrity, Database and SQL basics, Statistics (primary), Business data analysis, Data visualization

  PART 1 Overview of data analysis and professional ethics (3%) PART 2 Data structure (15%) PART 3 database foundation (17%) PART 4 Descriptive Statistical Analysis (10%)

  PART 5 Multi-dimensional data perspective analysis (10%) PART 6 Business Data Analysis (30%) PART 7 Business Analysis Report and Data Visualization Report (15%)

• CDA LEVEL II

  CDA Level II includes the following subjects: Data Collection and Data Processing, Statistical Analysis, Business strategy analysis, Data governance

  PART 1 Data collection and processing (12%) PART 2 Data model management (3%) PART 3 Label system and user portrait (5%)

  PART 4 Statistical analysis (25%) PART 5 Data analysis model (40%) PART 6 Digital working methods (15%)

• CDA LEVEL III

  CDA Level III includes the following subjects: Data Mining and Advanced Data Processing, Natural Language Processing and Text Analysis, Algorithm Application and Practice

  PART 1 Introduction to Data Mining (15%) PART 2 Advanced data processing and feature engineering (25%) PART 3 Natural language processing and text analysis (20%)

  PART 4 machine learning algorithm (40%) PART 5 machine learning practice (case operation part)

Exam Contents

Exam Date

Exam Location

Exam Fees

Registration Process

Talent Evaluation

CDA Certificate

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  authority

  CDA data analyst certification is jointly formulated and endorsed by authoritative industry associations, internationally renowned companies, and industry experts and scholars, and is revised and updated every year to ensure that the standards are public, authoritative, professional, and cutting-edge.

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  speciality

  CDA certification standards are in line with today's global data science and technology trends, and meet the talent requirements for data-related positions in the digital development of various industries. The examination experts have set questions, scored fair, strict procedures, and have high gold content.

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  Recognition

  CDA certification has been recognized and introduced by more and more companies, and has become the talent evaluation standard for companies, including China Telecom, China Unicom, People's Bank of China, Bank of China, China Tobacco, State Grid, China Merchants Bank, Mercedes-Benz, Lenovo, Suning, etc.

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  International

  CDA cooperates with Pearson VUE, an internationally renowned testing service organization, and certification test centers cover the world. The open cooperation of CDA Global Member Alliance further establishes the alliance of corporate members and employers, which is neutral and gradually becomes a benchmark for international certification.