Engineer Big Data Analysis

📚 Education By CampusDown Wiki Editorial Team Last updated October 26, 2026

Engineer Big Data Analysis is an engineer-level national technical qualification in Korea testing big data analysis planning, data collection and preprocessing, modeling and interpretation.

Contents

1. Exams
2. Eligibility and prep
3. FAQ
4. References

Exams

The written exam has four subjects (planning, exploration, modeling, interpretation); 40+ each and 60 average pass. The integrated practical combines short answers and coding in Python or R in a cloud environment over 180 minutes, with 60 out of 100 to pass.

Eligibility and prep

As an engineer-level item it requires degree or experience routes. The written scope overlaps with ADsP; for the practical, practice pandas preprocessing and scikit-learn models in the official trial environment.

FAQ

R or Python?: Either; most choose Python.
Does ADsP exempt the written exam?: No.

Sources reviewed: 2026-10-26

References

데이터자격검정(한국데이터산업진흥원). https://www.dataq.or.kr
Q-net 국가자격 시험 안내(한국산업인력공단). https://www.q-net.or.kr
국가기술자격법 시행규칙, 국가법령정보센터. https://www.law.go.kr

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This article was last updated on October 26, 2026. It is based on widely recognized original works and textbooks; when citing it in a paper, please check the original sources listed in the references.