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Certificate (Data Science)

[Reflecting Latest 2025 Exam Questions] Big Data Analytics Engineer Practical Exam 100% Pass! The Pattern of Past Questions is Visible!

The Big Data Analysis Engineer practical exam has common problem patterns. And a few lines of code must be memorized before going to the exam hall. If passing the exam is your goal, you must take this course.

(4.9) 24 reviews

125 learners

  • codingkorea
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Engineer Big Data Analysis
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What you will learn!

  • Comprehensive Compilation of Key Question Types for the Big Data Analysis Engineer Practical Exam

  • Learn practical exam flow and problem-solving strategies via past questions.

  • Identify recurring question patterns.

  • Receive essential tips to memorize for the exam hall.

Introduction to the Big Data Analyst Practical Exam Questions and Solutions

The video has been updated again based on the practical exam on June 21, 2025.


Big Data Analysis Practical Test! There's an Easy Way to Prepare 🤔


If you solve all the past exam types from the first exam in 2021 to the most recent practical exam in 2025,

You can check the pattern of the past question types. Analyze the past question types as if you were analyzing data.

As you get closer to recent exam questions, you will see that the examiner's explanation of the questions becomes clearer.

In this course, you will gain skills and tips to solve real-world problems!


All past exam questions restored and solved!

Here's a code you absolutely must memorize. It's definitely not that long!

As soon as the exam starts, there is a code that you absolutely must write down in your notepad before you forget it.




Below is the employment status of students who have taken classes at Coding Korea instructors.


I recommend this to these people

Those who aim to obtain a big data analysis engineer qualification

For those who want to quickly review past exam questions before the exam

For those who don't have enough time to prepare for the exam but absolutely must pass

Things to note before taking the class

Practice environment

  • The lecture is based on Google Colab.

  • Google Colab does not require a separate installation.

  • The actual big data analysis engineer practical exam environment will be reflected through hands-on practice using Colab.

Learning Materials

  • We provide solutions to past exam questions and additional study materials through the Google Correp practice link.

  • When you play the lecture video, you can view the lecture materials by clicking View Class Notes at the bottom of the video.

What are the key benefits of passing the Big Quarterly Practical Exam?

The most direct effect can be seen in employment and career development . With a credible national technical qualification certificate, you can objectively prove your data analysis expertise, which increases your chances of passing the document screening when applying for related jobs and puts you in an advantageous position during interviews.

In terms of strengthening practical capabilities , you will systematically acquire practical skills that can be applied immediately in actual work, such as data preprocessing, analysis, and machine learning modeling using Python or R. Since this is a process of gaining practical experience rather than just theory, you will acquire abilities that can be immediately applied when entering the field.

The economic benefits are also not to be ignored. Data analysis jobs generally offer high salaries, and many companies offer additional benefits to those with certifications. This can create more favorable conditions when negotiating starting salaries or promotions.

From the perspective of preparing for the future , data literacy is becoming an essential competency at a time when all industries are changing to be data-centric. The Big Quarter certification is proof that you have proactively prepared for this changing era.

Ultimately, passing the Big Quarter is a meaningful achievement that goes beyond simply obtaining a certificate; it upgrades your expertise to the next level and secures competitiveness that allows you to adapt to changing times.

Recommended for
these people

Who is this course right for?

  • A test-taker preparing for the Big Data Analyst Engineer practical exam

  • For those wanting to grasp the overall test question types.

  • Those aiming for perfect practical exam preparation through past question practice.

Need to know before starting?

  • Python Basics

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Curriculum

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50 lectures ∙ (7hr 37min)

Course Materials:

Lecture resources
Published: 
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Reviews

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24 reviews

4.9

24 reviews

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    Best teacher, best class

    • codingkorea
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      Thank you. ^^

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    tmdals259593953

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    5

    90% enrolled

    No help from other courses, I passed 1st try with 90, only with this course.🖐 Excellent course for learning from basics to application. Thank you!!!

    • codingkorea
      Instructor

      Huge congratulations! I'm so happy too. ^^

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