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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.

(4.9) 756 reviews

4,845 learners

Level Beginner

Course period 12 months

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

[Notice] Pandas Lecture Update Information 💕

Hello, students.

Due to the recent increase in the difficulty of the 'Work Type 1' type, we have updated the Pandas lecture content to help you prepare for this type more effectively.

Major changes:

  1. Added new Pandas content: Added content that may help solve the more difficult 'Task 1' problems.

  2. Moved the existing 'Pandas': The previously provided 'Section 3 Pandas' lecture has been moved to the very bottom . If you would like to review the existing content, please refer to the last part of the lecture.

We apologize for any inconvenience caused to those who were learning the existing 'Section 3 Pandas' due to the sudden change in lecture composition.

If you have already learned Pandas, please watch the latter part of Pandas 4 built-in functions, the latter part of Pandas 5 grouping, and pivot tables!

This update is intended to provide you with more useful and practical content, so we appreciate your understanding.

thank you

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