Data Analyst Exam: Helping you

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start the road to data analysis What is the data analyst exam? The data analyst exam is a professional qualification exam for people who are engaged in or intend to engage in data analysis. Passing the exam can verify the candidate's knowledge and skills in data collection, processing, analysis, modeling, visualization, etc.

Why do you need to take the data analyst exam? Improve professional Email List competitiveness: Having an authoritative certification certificate can significantly enhance an individual's competitiveness in the workplace. Verify professional ability: The exam is a comprehensive test of personal data analysis ability, which helps to discover your own shortcomings and improve in a targeted manner. Expand career development space: Many companies will use relevant certificates as an important reference standard when recruiting data analysts. Build industry connections: By taking the exam, you can get to know more people in the industry and expand your connections. Common data analyst exams Domestic exams: Soft exam - Big Data Engineer: Focus on the application and development of big data technology.




SAS certification: Focus on the use of SAS software and have a high degree of recognition in the field of statistical analysis. Internal accreditation of various universities and training institutions: These accreditations are usually associated with specific training courses. International exams: CDA Data Analyst Certification: Sponsored by the CDA Data Analyst Certification Committee, it is the most influential data analysis certification in China. Cloudera Certification: Certification focused on the Hadoop ecosystem. Microsoft Certification: Provides a series of certifications related to data analysis, such as Azure Data Engineer Certification, etc. What does the data analyst exam test? The examination content generally includes the following aspects: Fundamentals of statistics: descriptive statistics, probability theory, hypothesis testing, analysis of variance, etc.