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[2026] Big Data Analysis Certification Practical Exam! Pass in one go with past exam question solutions (Python)

Many candidates want to solve past exam questions. Why is that? It's because examiners refer to previous questions. Solving the latest past exams is the shortcut to passing.

(4.7) 6 reviews

32 learners

Level Basic

Course period 12 months

Python
Python
Machine Learning(ML)
Machine Learning(ML)
Big Data
Big Data
Engineer Big Data Analysis
Engineer Big Data Analysis
Python
Python
Machine Learning(ML)
Machine Learning(ML)
Big Data
Big Data
Engineer Big Data Analysis
Engineer Big Data Analysis

What you will gain after the course

  • Python Machine Learning Modeling

  • How to respond to Task Types 1, 2, and 3

Past exam questions—why are they important?

This is because examiners also refer to previous exam questions when creating new ones. If the examiners are using them, shouldn't we study them too? Yes, that's why we have perfectly restored the latest practical exam questions for the Big Data Analysis Certification. We have restored the three most recent exams and are revealing the data, solutions, and even passing strategies.

  • Perfect restoration of the 3 most recent exams!

  • Problem-solving lectures, data, and solution codes are provided.

  • Big Data Analysis Certification Practical Exam Complete Guide (Yemoonsa) - Taught by the Author

  • Check out the revised version of the past exam solutions before it's officially published.

What you will learn

Section (1) One-Shot Practical Exam! Passing Strategy

Big Data Analysis Certification Practical Exam!

What happens if you study without a strategy?

Of course, you end up taking the exam multiple times. I meet many students through various offline lectures. What's unfortunate is that some people come to take the class only after failing once. Every time I see them,

I feel that a strategy is necessary. Therefore, I will share the passing strategy with you.

어떻게 공부해야할지 모를 때? 함께!

How to study?? Together!

Section (2) Big Data Analysis Engineer: 3 Most Recent Past Exams

We provide three sessions of the latest past exam lectures, including all task types 1, 2, and 3. You can follow along with the instructor's live code (Python). By writing the Python machine learning code together, you can learn how to solve problems easily.

We will provide separate guidance for sections that require theoretical study. After all, you need to understand the concepts to solve the problems, right?

빅분기실기_책_표지-removebg-preview

Big Data Analysis Certification Practical Exam (Yemunsa)

Notes before taking the course

Practice Environment

  • Practice Environment: Google Colab (Practice environment user guide provided)

  • Requirement: Google account

Learning Materials

  • Format of provided learning materials (Python source code, data, PDF lecture notes, and other reference materials)

  • Source code is provided in ipynb format, which can be executed in Google Colab.

  • Data is provided to be downloaded automatically within the source code.

Prerequisite Knowledge and Precautions

  • You will learn with Python.

  • This is intended for those who have passed the Big Data Analysis Certification (BDAC) written exam. Of course, you are welcome to take the course in advance.

  • Among the 3 rounds of past exam solutions,
    - solutions for rounds 1 and 2 can be found in the Big Data Analysis Certification Practical Exam (Yemunsa) book.
    - Round 3 is not yet revised, so it will be available in the first half of 2025.

  • Please be mindful of copyright. Unauthorized distribution may lead to legal liability.

Recommended for
these people

Who is this course right for?

  • Big Data Analysis Certification written exam passers

  • Those who want to solve practical problems

Hello
This is algolearn

706

Learners

83

Reviews

62

Answers

4.7

Rating

6

Courses

I love studying and sharing knowledge. I have extensive experience in big data and artificial intelligence.

  • 20 years of experience as a data analyst and 5 years of teaching data analysis!

  • Consulting and lecturing for corporations and public institutions in the fields of Big Data and AI

  • Author of "Big Data Analysis Engineer All-in-One" (Written and Practical Exams)

  • CEO of an AI startup

More

Curriculum

All

22 lectures ∙ (7hr 25min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

6 reviews

4.7

6 reviews

  • manakiss9049님의 프로필 이미지
    manakiss9049

    Reviews 1

    ∙

    Average Rating 5.0

    5

    32% enrolled

    • algolearn
      Instructor

      Thank you. I'll cheer you on. :)

  • hirayhc20238058님의 프로필 이미지
    hirayhc20238058

    Reviews 2

    ∙

    Average Rating 4.5

    4

    100% enrolled

    • algolearn
      Instructor

      Thank you for the rating.

  • godsun4686님의 프로필 이미지
    godsun4686

    Reviews 1

    ∙

    Average Rating 5.0

    5

    100% enrolled

    • algolearn
      Instructor

      Thank you for leaving a good review. Be happy.

  • chobk156631님의 프로필 이미지
    chobk156631

    Reviews 1

    ∙

    Average Rating 5.0

    5

    32% enrolled

    • algolearn
      Instructor

      Hello. Thank you for leaving a good review. Have happy days.

  • afungy님의 프로필 이미지
    afungy

    Reviews 2

    ∙

    Average Rating 5.0

    5

    64% enrolled

    I can't run it because there is no dataset..ㅠㅜ

    • algolearn
      Instructor

      You can automatically receive the dataset while executing the Python file. Please check the code. If it doesn't work, please leave a message. I will guide you again.

    • afungy

      thank you.

    • algolearn
      Instructor

      Yes, thank you too. If you want to download the file, you can also get it from the Github site here. Please refer to it. https://github.com/desunny/AnalyticsKnight

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