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[Nuclear House] 2025 Big Data Analysis Article (Practical)_Type 1, 2, and 3

Very easy Big Data Analysis Technician (Practical) passing tips from current and former data experts! Meet the most friendly lecture that even non-majors can understand and follow!

(4.0) 3 reviews

109 learners

  • lmy0016004
자격증
시험
Big Data

What you will gain after the course

  • Revised question types (Type 3) theory analysis and practice problem solving included!

  • Big Data Analysis Technician (Practical) Know-how

  • Practical passing tips from current and former data experts

  • Practical Data Analysis Skills

  • Frequently occurring coding types and coding errors & troubleshooting tips

  • Coding tips for passing the exam revealed through analysis of past questions

  • Practical theory lecture

Passed the Big Data Analyst Practical Exam,
Anyone can challenge! 💯

📢 Please check before taking the class!

  • This course uses the programming language Python .

Big Data Analysis Engineer Practical Test ,
So that you can prepare properly! 🔑

The written test is to gauge your knowledge, and the practical test is to check whether you can actually analyze big data .
So, it is important to know the know-how of a data scientist that is learned through hard work and typing in the field.

How do I respond to the changed question types in the guerrilla notice ?

Work type 1

  • The difficulty level is not as high as you might think, so even non-majors, especially liberal arts majors, can take on the challenge.
  • Practical methods used in exploratory data analysis are presented.

Work type 2

  • There will be questions about building actual big data analysis models, but you can prepare according to the test level.
  • Don't forget that this is a level that you can solve if you learn one or two simple classification algorithms !

Working type 3

  • Although the existing written test format has been abolished, a review of statistical hypothesis testing theory is necessary.
  • If you do the hands-on, you should practice calculating functions in Python packages that anyone can handle.

The examiner's eyes!
Former/current data experts
Practical lectures ✅

Test-taking strategies for types 1 and 2

Learning is centered around simple and easy models, but most importantly , writing actual code !

  • Learning considering exams that do not provide code auto-completion
    ▶ Code practice using notepads such as Notepad
    ▶ Check how to use help
  • Task 1: Focus on technical statistics and preprocessing
  • Task 2: Learning in the order of classification → regression → clustering

Task 3 Exam Strategy

Statistical hypothesis testing theory + practical example solutions to conquer new types of questions that require scientific and technological calculation skills!

  • Understanding the core theory through analysis of example problems of the Korea Data Industry Promotion Agency
    ▶ Hypothesis testing / statistical testing method
    ▶ T-test + essential example learning
    ▶ Analysis of Variance + Essential Example Learning
    ▶ Chi-square test + essential example learning
  • After understanding the core theory, solve actual problems at the level of the test questions.

Efficiency Up! High-efficiency learning techniques

📜 Highest accuracy question restoration and in-depth analysis of past questions!

By analyzing past exam questions that were directly examined and restored by experts, we can clearly determine whether they can be included in future exams.
Bold selection and focus by excluding theories and fields with low probability of being tested

📜 Minimize the scope of the exam by determining the suitability of the test environment!

A test environment where problems that require access to the external environment cannot be tested, and the coolness of not even mentioning things that will not be tested!

📜 The know-how of experts at the examination committee level who can see through the examiner's eyes!

Big data analysis is not an easy task, but it provides practical theories and practical applications that have been acquired through many years of practical experience.
Presenting effective test-taking strategies that only experts in the field would know, including the level and limitations of the questions

📜 A surefire passing running mate that helps you improve your coding skills in the short term for the 1-2-3 type of tasks !

We propose learning focus through analysis of key frequently occurring coding types and strategies for avoiding negative scores for each of Type 1 and Type 2 tasks .
Clearly present the expected problem types of the new task -type 3 questions .
Coding simulation that shows the types of coding errors that learners who code alone frequently make and provides solution tips
Provided as a lecture

📜 Essential statistical theories that will be of great help if you know them to pass the practical exam!

Determining sample size and hypothesis testing, hypothesis testing for key parameters, inference about the difference between two populations
Basic physical strength required for practical tests that evaluate data analysis skills = Providing lectures on core statistical theories

Nuclear power plant big branch real-time, that's why it's more special !

[Nuclear House] Big Data Analysis Engineer (Practical) lecture textbook is the most complete practical textbook written by current data analysts .
* New book scheduled for publication in January 2025


Created this course
Introducing the knowledge sharer

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.

Lee Kyung-sook

  • Work Type 1,2 Big Data Analysis Practice and Training
  • Task 3 Statistical Hypothesis Testing and Practice
  • Industrial Engineering Major
  • Current) PricewaterhouseCoopers Consulting AI/ML consultant
  • Former LG CNS Data Scientist
  • Conducting analysis projects in various fields such as sales/marketing

Are you curious about the Big Data Analysis Engineer written lecture ?

Recommended for
these people

Who is this course right for?

  • Non-majors challenging to become big data analysts

  • Those who want to obtain a Big Data Analysis Technician qualification in a short period of time

  • Those who want to work as a data analyst

Need to know before starting?

  • Basic knowledge of Big Data Analysis Technician (Written)

  • Python Basics

Hello
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Learners

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Reviews

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Answers

4.4

Rating

8

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Curriculum

All

36 lectures ∙ (19hr 21min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

3 reviews

4.0

3 reviews

  • pupu22c9572님의 프로필 이미지
    pupu22c9572

    Reviews 19

    Average Rating 4.5

    5

    100% enrolled

    I passed the Big Data Analysis Engineer written exam (October 2022) and immediately took the practical exam (December 2022) by studying with Inflearn online lectures. Studying on my own was boring, but I studied while being guided by the main points in the online lectures, and before I knew it, I was done! About a week? Now I'm going to get used to coding repeatedly with my hands~ It was really helpful!

    • lmy0016004
      Instructor

      Hello, pupu22c! Thank you for taking the Big Data Analysis Technician Practical Course, and thank you for leaving such a praising review! I will use this as a great help in developing the course and strive to create a better course in the future. Congratulations on passing the written exam, and I hope you pass the upcoming practical exam! Thank you~

  • wogus30784960님의 프로필 이미지
    wogus30784960

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    It helped me a lot in studying for the practical exam. I'm going to review it during the remaining period.

    • lmy0016004
      Instructor

      Hello! This is Sohwakseong. I'm glad that our content was helpful for your studies during the exam period. I hope you do well on the exam during the remaining period and pass. Thank you!

  • jaehyun4349님의 프로필 이미지
    jaehyun4349

    Reviews 5

    Average Rating 3.6

    2

    100% enrolled

    I don't think it reflects the 3 types properly.. The content on the 3 types is so lacking that I think it would be better to search for it on the Internet.

    • lmy0016004
      Instructor

      Hello, jae_hyun. This is Sohwakseong. If there are any parts that did not meet your expectations, we will take note and reflect them in the year-end renewal. Thank you for your valuable opinion.

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