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Which data analyst training class is more formal?
1, the most intuitive is the employment rate and salary level of graduate students, and whether the information of employment rate and salary level published by training institutions is true or not, the trust in training institutions generally occurs long after enrollment or graduation, so the reputation of students in training institutions has become a reference standard.
2. First, look at the strength of training institutions. The strength of training institutions does not mean that advertisements are as loud as how bright. Some training institutions spend most of their expenses on advertising marketing, but as we all know, good advertisements do not necessarily represent good products. The same is true of training institutions.
2. Big data training experienced lecturers. If the big data teacher has many years of industry experience, he can more accurately locate the big data learning curriculum plan for students and be better at providing relatively scientific suggestions for students' career planning. Talents in the big data training industry are highly mobile, from one institution to another, and from the big data training industry to other industries. Generally speaking, there are fewer big data lecturers with more than 5 years of experience in this industry, especially the first-line experience in consulting positions.
For more information, please consult CDA Data Certification Center. CDA industry standards are jointly formulated by industry experts, scholars and well-known enterprises in the international data field, 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.
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