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One-shot finish! Big Data Analysis Engineer Practical Work Type

This course was created for those who are preparing for the Big Data Analyst practical exam. It will help you pass the exam by learning as concisely as possible, and it will also provide an opportunity for those who are considering their career path to lightly learn about coding and machine learning.

(4.5) 8 reviews

92 learners

  • DQ K
자격증
시험
Big Data

Reviews from Early Learners

What you will learn!

  • Python

  • Machine Learning

  • Big Data Analysis Engineer

  • Big Quarterly Practice

  • Colab

A chance for those who don't know how to nose it 🙌
Challenge the Big Quarter practical skills with just one lecture!

Introduction to Coding + Machine Learning
Let's finish it in one go!

Just 12 hours! Learn just what you need for the exam.
Introduction to Python + Machine Learning

Materials prepared to teach my girlfriend who is not good at koalas
I don't want to keep it to myself, so I'm sharing it as a lecture.
Learn just what you need, perfectly!

The Big Data Analyst Certification Exam, which debuted in late 2020, has been garnering significant attention!
However, for those who are new to coding and machine learning, it may sound like a distant dream.

This course is an introductory course on data/machine learning designed for those people.
Our goal is to provide guidelines for even the most novice Python learners to pass the Big Data Analyst practical exam with minimal knowledge. During the approximately 10-hour lecture period, we focus on the essentials, ensuring you pass the exam without missing anything.

The curriculum is designed to allow for repeated learning simply by listening to the lectures .
Master the content perfectly and pass the exam with minimal time and effort!


If you know just this much
Enough ✅

Attention, these people!

Machine Learning &
Python coding
First time encountering

Big Data Analysis Engineer
Practical test
Applicant

Even if you have to memorize it
The will and desire to pass
Anyone who has

Time and cost
I want to cherish
Lightning strike group

I passed the Big Data Analyst practical exam last year without any textbooks or practice questions. This course was carefully designed based on my own experience preparing for the exam, taking into account various issues and environmental constraints. I received feedback from my girlfriend, who had no prior coding knowledge, to develop the course, and I plan to further refine it through Q&A sessions with you.

This course covers the essential core concepts concisely enough to make you wonder , "Is this really enough?" I'll help you prepare for the exam and pass it just by memorizing it mechanically. 😊

Key Learning Point!

  • 1️⃣ Learn how to use the programming language, Python.
  • 2️⃣ Experience Google Colab, which is widely used for actual ML/DL learning.

Only in this lecture
Two key advantages

This lecture
It's simple .

We require only the bare minimum of learning from students. It's hard to believe that any course with less than this level of learning will guarantee a successful exam. We conduct training in an environment identical to the actual exam (Google Colab) , tailored precisely to the level of preparation required for the exam. We've eliminated unnecessary program installations and unnecessary learning due to configuration or testing environment constraints.

This lecture
It develops .

Based on feedback from my girlfriend, who had no prior coding knowledge, I've prepared this course with a difficulty level and structure appropriate for non-majors and beginners . We've also recommended various books and practice questions to reference during the learning process, providing even more diverse learning opportunities for those who need more than just exam preparation.


What is covered in the lecture
Check it out 📚

👉 If you are considering a career change in a related field,
We help you achieve realistic 'take-and-eat' !

Section 0. Orientation

We will explain how to use Colab and the future direction of the lecture.

Section 1. Python Basics

Learn the basics of Python usage, data types, etc.

Section 2. Python Grammar

Learn about Python's basic grammar, including conditional statements, loops, and exception handling.

Section 3. Pandas Basics

Learn the basics of Pandas, a library for handling data.

Section 4. Pandas Basics

Learn how to manipulate data with Pandas.

Section 5. Pandas Intermediate

Learn how to solve more challenging problems using Pandas (some of the tasks in Task 1 fall into this category).

Section 6. Machine Learning Basics

Learn about the overall structure and techniques of machine learning.

Section 7. Machine Learning Basics

We solve problems with a high probability of appearing on the exam using machine learning.

Section 8. Perfect preparation for the real thing!

As our student body grows, we will continue to add more practice exam questions!


Created this course
Knowledge sharer is 👨‍🏫

Kim Dong-gyu (DQ K)

  • Passed the first practical Big Data Analyst exam, the second round, with a perfect score.
  • Former data scientist specializing in natural language processing at a startup
  • Currently a data scientist/AI researcher at a corporate research institute

Check out the Q&A !

Q. How are the lectures conducted?

This course is based on the Notion textbook. To minimize the burden on students, the curriculum is designed to encourage self-directed learning within the course. Lecture videos for additional mock exams may be updated in response to additional questions and requests.

Q. What is the lecture material?

The course materials were personally created by me, drawing on various codes, study books, and reviews from actual test takers. Even those unable to attend the lectures can still learn through the annotations and explanations in the textbook. They're presented in Notion pages, allowing you to solve continuously updated problems.

Q. Are there any notes regarding the course (environment requirements, other precautions, etc.)?

This course is conducted on Google Colab, so you'll need a Google account. Otherwise, any computer capable of running Colab will do.

Recommended for
these people

Who is this course right for?

  • For those new to coding

  • People who want to take the Big Data Analysis Engineer practical exam

  • People who are new to machine learning etc.

  • A person who has the will and desire to pass even if it means memorizing everything

  • People who want to pass the exam by cramming

  • Non-major

  • Beginner

Hello
This is

92

Learners

8

Reviews

14

Answers

4.5

Rating

1

Course

데이터 사이언티스트 김동규입니다.

현재 AI연구원으로 재직하고 있습니다.

Curriculum

All

29 lectures ∙ (13hr 20min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

8 reviews

4.5

8 reviews

  • hgsmile855님의 프로필 이미지
    hgsmile855

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    김동규 강사님, 안녕하세요. 본 강의를 통해서 이번 4회 빅데이터분석기사 실기에서 91점(단답형 21, 작업형 1유형 30, 작업형 2유형 40) 취득하게 되어 글을 남김니다. 확실히 빅데이터분석기사 취득을 위한 내용으로 포커스가 맞추어져 있다고 생각됩니다. 코랩으로 실습한 내용을 저장하여 복습으로 1~2번 더 쭉 읽어본 것이 반복학습이 되었고, 특히 실제압축코드를 기본으로 자기만의 최적화된 코드를 숙달한 것이 도움이 되었습니다. 강사님, 좋은 강의 많이 부탁드리고 더욱 번창하세요. 감사합니다.

    • DQ K
      Instructor

      도움이 되셨다니 다행입니다. 화이팅하세요!!

  • 슝슝슝님의 프로필 이미지
    슝슝슝

    Reviews 16

    Average Rating 3.9

    4

    100% enrolled

    강의를 전체화면으로 봐야 코드가 보이는게 아쉽습니다. 듀얼모니터가 아닌 사람은 불편함이 있어요..ㅠ 노션 교재 보실때 자꾸 다른 화면으로 가는걸 편집으로 빼주셨음 좋겠습니다..!

    • kimnooya님의 프로필 이미지
      kimnooya

      Reviews 3

      Average Rating 5.0

      5

      100% enrolled

      실전에필요한 내용위주로 강의구성이 좋았습니다.

      • DQ K
        Instructor

        다행입니다! ai 분야에 종사하게 되신다면 추후 현업에서 뵐 수 있었으면 좋겠네요~

    • 안전한 다람쥐님의 프로필 이미지
      안전한 다람쥐

      Reviews 2

      Average Rating 4.0

      3

      17% enrolled

      새로운 유형나왔는데 업로드되는것도 없고 화면은 너무 큰데 코드는 너무작아서 모니터가 커도 불편해요... 너무아쉬워요...

      • DQ K
        Instructor

        리뷰 감사합니다~ 3유형은 기존의 필기를 대체하는 형태고, 제가 직접 시험을 쳐본 방식이 아니다보니 조금 조심스럽습니다. 본 강의가 최소 시간 투입해서 작업형 1, 2유형 다 맞아서 필기(현재는 3유형)는 다 틀려도 합격하자는 취지라 더욱 그렇습니다. 강의보다는 강의를 통해 개념을 이해하고, 공유해드린 노션을 통해 자체적인 공부와 복습하는 부분에 특히 신경쓰느라 강의 화면 중 코딩이 잘 안보이는 문제는 차마 예상치 못했는데, 다시 한 번 검토해보겠습니다. 마지막으로 강의 들어주셔서 감사하고, 시험 잘 보셔서 나중에 현업에서 뵙겠습니다~

    • 김가람님의 프로필 이미지
      김가람

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      비전공자에 코알못인데 이번 시험 작업형 만점으로 합격했습니다^^ 필기도 턱걸이로 합격해서 실기는 엄두도 안 났는데 압축적이고 효율적인 강의가 큰 도움이 됐습니다.(특히 실압코는 압권...) 질문에 대한 빠른 피드백도 감사드립니다. 늘 번창하세요!!

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