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[After Work Side Projects] Big Data Analytics Engineer Practical Exam (Task Types 1, 2, 3)

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

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4,845 learners

  • roadmap
빅데이터
빅데이터분석기사
머신러닝
판다스
pandas
자격증
시험
Engineer Big Data Analysis
Big Data
Python
Pandas
Machine Learning(ML)

✨[It's not too late even if you start now!] I want to say that, but...

Are you anxious because your exam is this week?

But I think there are some people who are just starting out . 😭

If you start now, work type 2 -> work type 3 -> past questions -> examples -> tips -> regular practice

Since you absolutely must take the test, I recommend the following order.

1. Task type 2 – Highest percentage of questions and easiest to score
84. 기출(작업형2) 한 가지 방법으로 풀기 / Tips section
80. 인코딩 할 때 에러가 난다면? / Tips section

2. Task type 3 – Modeling-oriented (logistic regression, regression, correlation, etc.)
53. 예시문제 작업형3(ver. 2023-2) / Official example problem section
42. 회귀분석 / [Task Type 3] Regression Analysis Section
43. 상관관계 / [Task 3] Regression Analysis Section
44. 단순선형회귀 / [Task type 3] Regression analysis section
45. 다중선형회귀1 / [Task type 3] Regression analysis section

3. Solving past questions – 3rd to 9th
4. Review of example problems - 2025 version work type 1, 2, 3
5. Honey Tip Video – The Rest
6. Watch the entire video in one go – If you have time, quickly organize and finish

Unfortunately, Task Type 1 is an area that requires constant driving. (Please skip the difficult characters/time series.)

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