[Nuclear House] 2025 Big Data Analysis Article (Written)_Subject 3~4

The only lecture that delves into a specific professional field! A subject-specific professional in the field will tell you the fastest way to pass the exam through a thorough analysis of the exam trends!

(4.7) 22 reviews

296 learners

Level Basic

Course period 3 months

Big Data
Big Data
Big Data
Big Data

Reviews from Early Learners

Reviews from Early Learners

4.7

5.0

oh5862

100% enrolled

Great, thank you~!

5.0

문채우

100% enrolled

Understood.

5.0

daegyung.kim

62% enrolled

It seems that some of the content is explained incorrectly, but overall it is a good lecture for grasping the concepts.

What you will gain after the course

  • 3. Big Data Modeling

  • Chapter 4: Big Data Result Analysis

  • Useful tips from a working data scientist

  • Analysis of past questions and final special lectures provided

The trend is big data analysis engineers!
We'll help you pass quickly 🙌

Specialized lectures by field experts to help you pass the exam!

We all just imagined it
Big Data Analyst (Written) Best faculty!
A data analysis expert from/affiliated with a leading domestic company
We've gathered here to help you pass your exam.


Big Data Analysis Engineer Written Test!

A big data analyst is a qualification that certifies that you are an expert in data analysis.
It is one of the most necessary qualifications in the changing future world, and it is necessary to directly handle and analyze data in the field.
It is no exaggeration to say that this is the first step towards becoming a data expert.

Lecture Topic

  • 3 subjects big data modeling
  • 4 subjects big data results interpretation

7 questions and 7 answers to help you understand the exam criteria ✨

What are the characteristics of this test that test takers unanimously talk about?

First of all, it can never be covered by just 1 or 2 experts!

  • Meaningful learning is possible only when experts in each field provide lectures based on their specialized knowledge.

Second, we need field-specific, practice-oriented lectures!

  • Since this is an exam designed to train real data analysts at a national level, it is difficult to exclude field issues from the exam.

Third, although you just need to avoid failing, you will be asked questions about specialized knowledge that non-majors do not know!

  • Since the questions asked are difficult to solve for those who are not majoring in data statistics and data security, you will be closer to passing if you have a basic understanding of the relevant topics.

  The secret to passing the exam quickly

One, Big Quarter Guide Lecture provided!

  • You can pass the exam quickly by knowing the whole thing. To increase learning efficiency, we provide a guide lecture on the overview of big data analysis .

Two, thorough analysis of past exam questions!

  • The past is a mirror that reflects the future. After checking the test criteria and previous test theories, the next test theory
    Anticipate and prepare for it.

Set, minimize the burden of learning!

  • You don't need to know every single word. This is not a lecture that explains things in detail without giving any key points, but rather a lecture that provides context.
    This is a lecture on theoretical analysis .

Yes , analysis from the questioner's perspective !

  • Select the key frequently occurring theories for each subject , Representative types of past exam questions and explanations, etc.
    We will be your sure-fire running mate for passing the exam through analysis of past exam questions.

Use of practical textbooks written directly by professors (new book scheduled for publication in 25 years)


Expected Questions Q&A 💬

Q. Is this an exam that non-majors can also take?

Yes! If you fall into any of the following categories, you can take this exam.

  1. University graduates or those expected to graduate (regardless of major)
  2. A person who graduated from a 3-year college or university and has at least one year of work experience after graduation (regardless of major or job field)
  3. A person who graduated from a two-year vocational college and has at least two years of work experience after graduation (regardless of major or job field)
  4. A person who has acquired qualifications of a knight rank or higher (regardless of the subject)
  5. Those who have completed or are expected to complete a technical training course at the article level (regardless of subject)
  6. A person who has acquired a qualification of industrial engineer level or higher and has work experience of more than 1 year (regardless of industry or job field)
  7. A person who has completed an industrial technician level technical training course and has at least 2 years of work experience after completion (regardless of industry or job field)
  8. A person who has acquired qualifications of a technician level or higher and has at least 3 years of work experience (regardless of subject or job field)
  9. People with more than 4 years of work experience (regardless of job field)

And, generally, the qualification of a technician is matched with those who have obtained a bachelor's degree from a university. "Big Data Analysis Technician" is an exam that certifies a bachelor's level or higher to be able to analyze big data, and it is an exam that anyone can pass if they are interested and study.

Q. I don't plan on taking the exam, but I'm interested in developing my data capabilities. Will this help?

Yes! If you want to become a complete technical expert, you will need to study and work much harder, but if your goal is to become a person with data analysis capabilities, you can get a lot of help with your current studies.

Q. Why are data analysis capabilities important?

Data analysis skills are key to corporate decision-making, and are an important element that job seekers and employees who need to drive work performance should cultivate.


Introducing the knowledge sharers for this course.

This course was developed through joint work between the representative instructors of [Nuclear House], the brand representing RMP's certification, and [Vermind], a content expert.

Choi Ye-shin

  • 3 subjects Big data analysis techniques
  • Information Processing Technician
  • Current) Iron and Steel Association, Digital Convergence Promotion Agency-AI, Big Data Lecture
  • Current) Corporate Technology Guidance (KOTERA)
  • Former LG CNS Big Data Business and Technology Expert Committee Member

Kim Joo-hyun

  • 3 subjects Big Data Advanced Analysis Techniques
  • Major in Software Engineering
  • Current) LG CNS Data Scientist
  • Embedded, network, data mining, vision AI, etc.

Lee Kyung-sook

  • 4 Subjects Big Data Exploration
  • Industrial Engineering Major
  • Current) LG CNS Data Scientist
  • Conducting analysis projects in various fields such as sales/marketing

Please check out the related lectures!

Recommended for
these people

Who is this course right for?

  • For those who want to obtain a Big Data Analysis (Written) Certificate

  • Those preparing for employment or career change in data analysis

  • Those who want to study data analysis

Hello
This is lmy0016004

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Curriculum

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47 lectures ∙ (21hr 11min)

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Reviews

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22 reviews

4.7

22 reviews

  • ygjang0383님의 프로필 이미지
    ygjang0383

    Reviews 16

    Average Rating 5.0

    5

    100% enrolled

    It was very helpful. The lecture quality was good.

    • lmy0016004
      Instructor

      Hello, this is Sohwakseong!! Thank you for taking our course, and thank you for your refreshing morning breeze-like review.^^ I hope you have a particularly pleasant day today~~

  • daegyungkim1069님의 프로필 이미지
    daegyungkim1069

    Reviews 2

    Average Rating 5.0

    5

    62% enrolled

    It seems that some of the content is explained incorrectly, but overall it is a good lecture for grasping the concepts.

    • lmy0016004
      Instructor

      Hello, this is Sohwakseong! Thank you for taking our course and taking the time to leave a review. 5 stars! Thanks to your support, we will work harder to run the course~ It's hot, but don't get tired and always have energetic summer days~

  • oh58626597님의 프로필 이미지
    oh58626597

    Reviews 2

    Average Rating 4.5

    5

    100% enrolled

    Great, thank you~!

    • narao871187님의 프로필 이미지
      narao871187

      Reviews 2

      Average Rating 5.0

      5

      100% enrolled

      I passed the 8th 24th year 1st Big Quarter written exam. I think there were easy questions from frequent questions and killing questions from new areas. I applied last year and didn't take the exam ^^: I passed this year thanks to Hackjip. Thank you so much.

      • lmy0016004
        Instructor

        Hello, this is Sohwakseong! >>ㅑ~~~~~~~~ Congratulations on passing!! This is an exam that you shouldn't study for roughly, so thank you for your hard work preparing for the exam with your set schedule~ We sincerely congratulate you on passing, and thank you for praising us^^

    • tyche0529님의 프로필 이미지
      tyche0529

      Reviews 13

      Average Rating 5.0

      5

      100% enrolled

      Understood.

      • lmy0016004
        Instructor

        Hello, this is Sohwakseong! Thank you for taking our course and leaving a 5-star rating~ The weather seems to be warming up but not quite, so be careful not to catch a cold for the rest of winter, and have a nice day. Thank you~

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