Thanks to you, I passed the big quarter! Type 1 and Type 3 were especially helpful. I think the basic lecture on Type 1 and the process of solving the problems posted on Kaggle many times to get used to it are really good!

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We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)!
Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.

roadmap

[Side Project After Work] Big Data Analysis Certification Practical Exam (Type 1, 2, 3)

빅데이터

빅데이터분석기사

머신러닝

판다스

pandas

자격증

시험

입문

초급

중급이상

Engineer Big Data Analysis

Big Data

파이썬

Python

Pandas

Machine Learning(ML)

Welcome to the Big Data Analysis Certification Game

"Python" flowers have bloomed

[Task Type 1] Pandas updated 2025.4

[Type 1] Mock Exam Questions

[Task Type 2] Machine Learning New / updated 2025.5

[Type 2] Mock Exam and Kaggle

[Practical Type 3] Hypothesis Testing

[Type 3] Categorical Data Analysis

[Type 3] Logistic Regression Analysis

[Type 3] Regression Analysis

[Type 3] Analysis of Variance (ANOVA)

[Previous Exam] Official Example Questions (Including Logistic Regression)

[Previous Exam] Type Analysis for the 2nd Exam Questions

[Previous Exam] Type Analysis of the 3rd Session Exam Questions

[Previous Exam] Analysis of Type 4 Exam Questions

[Previous Exam] Analysis of Type 5 Exam Questions

[Previous Exam] Analysis of Question Types for the 6th Exam

[Previous Exam] Identifying types for the 7th session exam questions

[Previous Exam] Identifying the types of questions for the 8th exam

[Previous Exam] 9th Exam Question Type Analysis

[Previous Exam] 10th Exam Question Type Analysis

[Previous Exam] Analysis of the 11th Exam Question Types (updated 2026.3)

Big Data Analysis Certification Game (Tips)

[Practical Challenge] Type 1, 2, 3 Practice Problems (Document Materials)

Wishing you the best of luck on passing! 💕