1. CDA Level Ⅰ: Transactional Data Analyst
135 minutes (15 minutes to read the exam guide + 120 minutes to answer the questions formally), objective questions (single-choice + multiple-choice), and answer the questions on the computer. For test points, please refer to the CDA Level Ⅰ test outline.
2. CDA Level II: Modeling Analyst
The first 105 minutes (15 minutes to read the test guide + 90 minutes to answer questions formally), objective questions (single + multiple choice), on the machine to answer questions; after 120 minutes, examples of the operation, bring their own computer operation (device) Good with data mining function software such as: SQL, PYTHON, SPSS MODELER, R SAS, WEKA, etc., case operation analysis. CSV files will be provided for the case data). Please refer to the CDA Level Ⅱ Modeling Analyst Exam Outline for test points.
3. CDA Level II: Big Data Analyst
The first 105 minutes (15 minutes to read the test guide + 90 minutes to answer the questions formally), on the machine to answer the questions; the second 120 minutes, the case of operation, to bring their own computers to operate (see the detailed preparations in the outline). (see detailed instructions in the Exam Outline for detailed preparation). Please refer to the CDA Level Ⅱ Big Data Analyst exam outline.
4. CDA Level III: Data Scientist
Phase 1: 165 minutes (15 minutes to read the exam guide + 150 minutes to formally answer the questions), objective + subjective questions, on the computer. Stage 2: 1 month, project examples, open free-response questions. Submission of project results, 30 minutes, online interview and defense. (Only those who have passed the first stage exam will be eligible to participate in the second stage interview). Examination arrangements for project examples are sent by email. Please refer to the CDA Level III Data Scientist Exam Outline for exam points.
About what CDA Data Analyst exams, Aoto shared with you here. If you have a strong interest in big data engineering, I hope this article will help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.