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[4-Week Completion] 12th Big Data Analysis Certification Squid Game (Big Data Analysis Certification Practical Exam)

The "Big Data Analysis Certification Squid Game Challenge," directly managed by After-Work Hobbies—which has boasted high pass rates every session—is back. The goal of this game is to consistently complete daily missions and finish the course. If studying alone was difficult, now you can finish together and sharpen your practical skills!

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

5개 수업 학습

25회 미션 수행

라이브 3 회

같은 기수와 교류하고 함께 성장해요.

성취의 증표, 수료증을 발급해요.

roadmap님과 함께해요!

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Reviews

3,970

Answers

4.9

Rating

9

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[Notice]

  • All 100 spots filled! Additional recruitment OPEN due to high demandRecruiting additional participants

  • For those taking the "After-Work Side Project" online course, please check the "Latest News" section of the online course before applying.



A proven study group that has produced numerous successful candidates with over 1,300 cumulative participants.

If we go together, we can make it to the end. Let's aim for passing together!

What is the Big Data Analysis Certification Squid Game?


This is a mission-based challenge to prepare for the Big Data Analysis Certification practical exam.
By completing daily missions, you will repeatedly train through processes similar to the actual exam.

The "Squid Game" study group, which has been operating consistently from the 3rd to the 11th session,
is a proven learning community with over 1,500 cumulative participants and a large number of successful candidates to date.

From rounds 3 to 10, it was a brutal survival-style study group where you were 'removed' if you failed to complete missions,
but starting from round 11, it has returned as a new completion-based challenge with no eliminations. 💪🔥

With a focus on consistency and immersion,
let's build a real "passing routine" together, moving forward one step every day.


11th Session Reviews

For detailed reviews, please check the actual participant feedback in each session's chat room within the community.


Reviews of other sessions

A knowledge sharer of Big Data Analysis Certification lectures taken by over 5,000 students
directly operates this practical challenge.


Only available in the Big Data Analysis Certification Squid Game Challenge,
daily missions and a learning community

1⃣ Skill up through daily learning!

Daily missions are provided throughout the challenge period.
Even beginners will improve their skills if they follow the curriculum!

2⃣Communication Channel (Discord) Operation

So you can finish until the very end!
We operate a Discord for mutual learning.

3⃣Weekly Live Q&A Provided

If you have any questions or get stuck during the practice,
ask them live!

💝Looking for members to learn together.

I politely decline those who only intend to lurk.
(Please find another group)


Detailed Weekly Schedule

This curriculum consists of 25 missions.

Grow step by step through daily missions covering statistics, Python, Pandas, and machine learning!

Each mission consists of practical practice problems similar to the actual exam.
By solving 3 to 4 problems every day, you can naturally enhance your practical sense and build your data analysis skills.


📌 Week 1: May 26th ~ 30th

  • 🎬 [Live] Orientation (5/26)

  • Pandas  / Complete Missions 1 ~ 5


📌 Week 2: May 31st ~ June 6th  

  • Pandas, Machine Learning / Complete Missions 6 ~ 12

  • 🎬 [Live] Week 2 Q&A (6/6)

📌 Week 3: June 7th – 13th  

  • Statistics, Previous Exam Questions / Complete Missions 13 ~ 19

  • 🎬 [Live] Week 3 Q&A (6/13)

📌 Week 4: June 14th – 20th

  • Past Exams / Complete Missions 20 ~ 25

Wait! Please read this before starting the course ✋

How to Submit Missions


🔥 After checking the problems for each mission, please submit the code you have written yourself.


1. Check the Mission

Check the missions provided daily. Review the missions offered in the books or lectures, and either follow along exactly (Kkakdugi) or write the code yourself (Challenge). The mission submission deadline is the same day + 1 day.

Mission Example


2. Submitting the Mission (Must use the code block feature!)

Please write your solved code! There are multiple mission problems. When submitting, you must select the 'Code Block' function to enter your code. Clicking the code block icon will display the Python code neatly.

How to write code


3. Communicating on Discord

🙋 Learner

  • On Discord, we freely exchange opinions regarding the daily missions and share each other's code.


🧑🏻‍🏫 Ddan짓 After Work

  • I provide public feedback on content worth sharing from the missions or on incorrect information found during Q&A sessions between learners.

⚠️ Precautions when writing questions

  • Please make sure to follow the question writing rules :)

  • I do not accept direct messages (DMs). All conversations take place only in public channels.


  • This is not a space for asking me questions directly.
    👉 If you need to ask a direct question, please do so only through the lecture community, rather than the challenge or Discord.

🔥 Recommended for these people

Those who are preparing for the 12th practical exam

Those who can faithfully complete the given missions every day

✅ Those who want to stay motivated by finishing together rather than alone

🎯 Notes before participating in the challenge

💡 Requirements

💡 Requirements

💡 Precautions and Information

  • This challenge does not accept learning-related questions. (Communicate within the community)
    Learning Q&A answered by 'After Work Hobby' is only available in the "[After Work Hobby] Big Data Analysis Engineer Practical (Task Type 1, 2, 3)" online course.


  • The challenge is a practice and completion-oriented program.
    Missions are released daily and can only be submitted within the designated period.

5월

25일

챌린지 시작일

2026년 5월 25일 PM 03:00

챌린지 종료일

2026년 6월 21일 PM 02:30

챌린지 커리큘럼

All

33 lectures ∙ (3hr 22min)

Course Materials:

Lecture resources
Live

챌린지에서 배워요

  • Getting a Practical Feel for the Big Data Analysis Certification Practical Exam

  • Solutions by Task Types 1, 2, and 3

Recommended for
these people

Who is this course right for?

  • A candidate preparing for the 12th Big Data Analysis Certification practical exam

  • Those who want to study together (those who have trouble studying alone)

Reviews

All

22 reviews

5.0

22 reviews

  • chamomile2504님의 프로필 이미지
    chamomile2504

    Reviews 6

    Average Rating 5.0

    Edited

    5

    100% enrolled

    I am a non-major with a bit of background knowledge. Thanks to the Sinagong textbook + Inflearn Challenge & Live + the instructor's problem site, I passed on my first attempt with a total score of 85. (I also had some luck on my side.) The reason I chose the "After Work Hobbies" (Twae-geun-hu-ttan-jit) curriculum was that the Kaggle problems are highly reputable, and I felt the lectures and textbooks were well-organized. I chose it because the book and challenge format suited me well, and in the end, it was an excellent choice. I was able to study at my own pace every day without feeling overwhelmed. I started studying at the same time the challenge began and spent about a month studying full-time... It was so exhausting that I regretted not starting right after passing the written exam. ㅠㅠ If I could go back, I would spend one month familiarizing myself with the content using the textbook and the next month running through the challenge in "challenge mode." The book, the challenge, and the problem site were all incredibly helpful without exception. It was a more intense month than ever before. I am currently preparing for re-employment in the data analysis field, and I plan to continue studying my weak areas using the Sinagong textbook. Thank you so much! 🙌

    • roadmap
      Instructor

      Congratulations on passing with a score of 85 on your very first attempt! 🎉 Since you mentioned you were fully immersed in this for a month, I can feel how intensely you must have prepared. It seems that the process of making full use of everything—from the Sinagong textbook to the challenges & lives, and the problem-solving sites—ultimately led to this great result. Thank you for working so hard with us; it gave me a lot of strength as well. I’ll be rooting for you as you prepare for your re-employment in the data analysis field !!!

  • parkjw58516님의 프로필 이미지
    parkjw58516

    Reviews 2

    Average Rating 5.0

    Edited

    5

    100% enrolled

    Thanks to the challenge, I was able to prepare consistently for at least a month. I really want to pass!

    • kcjjohoon4491님의 프로필 이미지
      kcjjohoon4491

      Reviews 2

      Average Rating 5.0

      5

      100% enrolled

      I was able to pass on my first try thanks to the meticulous lectures and systematic learning approach. I was at a loss as to how to study while working, but by repeating two or three problems every day, I naturally mastered the material. I believe it was possible because the curriculum was excellent. Thank you once again to the instructor!

      • roadmap
        Instructor

        Congratulations on passing on your first try! 🎉 It seems your consistency has led to this great result. I will be rooting for you in your future endeavors as well.

    • cyber34569590님의 프로필 이미지
      cyber34569590

      Reviews 2

      Average Rating 5.0

      5

      67% enrolled

      I passed thanks to you!

      • roadmap
        Instructor

        Thank you!!! I feel more energized thanks to you.

    • iamak8156님의 프로필 이미지
      iamak8156

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      I'm an "I" type who usually doesn't do study groups and worries a lot about what others think. I was going to prepare for this course on my own, but I joined because I needed some motivation, and I highly recommend it. There's absolutely no pressure like that; you just submit daily assignments without being pushed, so you can go at your own pace. The live lectures also have so many great tips, which is a huge help! Thank you, teacher.

      취소 및 환불 규정
      챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

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