CDA is a scientific, professional and international talent evaluation standard, which is divided into three levels: CDAⅰ, CDAⅱ and CDAⅲ. The industries involved are Internet, finance, consulting, telecommunications, retail, medical care, tourism, etc., and the positions involved are big data, data analysis, market, products, operation, consulting, investment, research and development, etc. This standard conforms to the global trend of data technology and can provide reference standards for data talents for enterprises and institutions in various industries. CDA industry standards are jointly formulated by experts, scholars and well-known enterprises in the field of international data science, and are revised and updated every year to ensure the openness, authority and cutting-edge of the standards. Those who pass the CDA certification examination can obtain CDA certification in both Chinese and English.
1, CDA level includes the following subjects: professional ethics and ethics, database and SQL foundation, statistics (elementary), business data analysis and data visualization.
1 Overview of data analysis and professional ethics (3%)
Part II Data Structure (15%)
Part III Database Basis (17%)
The fourth part is descriptive statistical analysis (10%)
Part 5 Multidimensional Data Perspective Analysis (10%)
Part VI Business Data Analysis (30%)
Part VII Business Analysis Report and Data Visualization Report (15%)
2.CDA Level II includes the following subjects: data collection and data processing, statistical analysis, business strategy analysis and data governance.
1 data acquisition and processing part (accounting for 12%)
Part 2 Data Model Management (3%)
Part 3 Label System and User Portrait (5%)
The fourth part is statistical analysis (accounting for 25%)
The fifth part data analysis model (40%)
Part VI Digital Working Method (accounting for 15%)
3.CDA level 3 includes the following subjects: data mining and advanced data processing, natural language processing and text analysis, algorithm application and actual combat.
1 Introduction to some data mining (accounting for 15%)
Part II Advanced Data Processing and Feature Engineering (25%)
Part III Natural Language Processing and Text Analysis (20%)
The fourth part of the machine learning algorithm (40%)
The fifth part is the actual combat of machine learning (case operation part)
Regarding the certification of cda data analysts, you can go to CDA Data Analysis Certification Center. Global CDA licensees adhere to the new concept of advanced business data analysis, follow the new norms of CDA professional ethics and code of conduct, give full play to their own data professional ability, promote scientific and technological innovation and progress, and help the sustained economic development.