Test points for the data analyst exam Basic statistics

mstlucky456

The Data Analyst Exam is designed to assess the basic knowledge, skills and application capabilities of candidates in the field of data analysis. By passing the exam, it can be verified whether the job seeker has the professional qualities required to engage in data analysis work, and provide a reference for corporate recruitment. Why do you need to take the Data Analyst Exam? Improve professional competitiveness: With authoritative certification, you have more competitive advantages. Verify your own ability: By passing the exam, you can objectively evaluate your learning achievements . Expand career development space: Provide direction for career planning.


Types of Data Analyst Exams At present, there are many Special Data institutions and organizations at home and abroad that provide data analyst certification exams, and the content and format of the exams vary. Common types of exams include: Basic certification: Mainly examines basic skills such as statistical foundations, data cleaning, and visualization. Advanced certification: Focuses on advanced applications such as data mining, machine learning, and big data analysis. Industry certification: Professional certification set up for data analysis needs in specific industries such as finance and medical care.



Common certification exams SAS certification: Certification provided by SAS Institute, covering multiple modules such as Base Programming, Advanced Programming, and Statistics. CDA Data Analyst Certification: Certification issued by the China Society of Business Statistics, which examines the full process capabilities of data analysis . Cloudera certification: Certification provided by Cloudera for Hadoop and big data platforms. Microsoft certification: Certification provided by Microsoft, covering Power BI, Azure Data Engineer, etc.