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Applied AI

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AI for Work

Vibe coding based on Google Antigravity data

This is a 3-week intensive learning program with data analysis expert Joeun Park. You will learn Google Antigravity-based data analysis techniques through 3-hour online live sessions every Monday, Tuesday, and Wednesday, and complete a practical project offline during the final week. You can simultaneously acquire data-driven decision-making capabilities and practical Vibe Coding skills.

project
data-analysis
visualisation
Vibe Coding
antigravity

6개 수업 학습

라이브 6 회

무제한 복습, 내 것으로 만들어요.

질문하고 즉시 답을 얻어요.

지식공유자와 멘토링 혜택!

hanvit1099님과 함께해요!

I am the Lead PM of the Academy Team in the Project Operations Department at the Center for Women in Science, Engineering and Technology (WISET).

Co-instructor

Strengthen Your Practical Data Analysis Skills!
Master Google Antigravity and Vibe Coding

A practical project completed through a 3-week intensive course


Do you lack data analysis experience that can be applied directly in the field?
This is an opportunity to grow into a data-driven decision-making expert by applying Google Antigravity-based analysis and Vibe Coding methodologies to real-world projects.
We will help you develop practical data analysis and visualization skills that can be used in the workplace.


Google Antigravity
Develop data-driven practical skills.

Python EDA, Google Antigravity, HTML Web Scraping, API Utilization, JSON Data Processing, GitHub MCP, and more
Master core technologies that can be applied directly in the field.

Beyond theoretical learning, you will experience the entire data analysis workflow, from actual data collection and analysis to report writing and version control using GitHub.

Complete a data analysis project with 3 weeks of intensive learning!
Gain experience in implementing actual services through on/offline collaboration and share your results.

Boost your data analysis skills
with Google Antigravity!

Section 1 - Data Collection Basics: Web Scraping and Workflow Setup

Starting with the basics of Python EDA, you will learn how to configure Rules and Skills using Google Antigravity. You will master HTML web scraping techniques and build a complete workflow that spans from data collection to analysis and report generation.

Section 2 - API Integration and Version Control: Data Integration and Collaboration

It covers how to scrape JSON data via API calls and create reports. You will learn how to collect and analyze data using the Naver API, as well as version control and deployment strategies using GitHub MCP.

Section 3 - Hands-on Project: Data Analysis and Automation

We will conduct a real-world data analysis project during the offline session. Starting with project design, you will perform data analysis and strengthen your practical skills through report automation and result sharing.

Seize the data!

Point 1. Becoming a Data Analysis Expert

We offer three weeks of intensive learning by combining Google Antigravity with the Vibe Coding methodology. Grow into a data expert by experiencing the entire practical process, from data collection and analysis to visualization and report automation.

Through three hours of daily online live lectures and Q&A sessions, you can resolve your questions immediately and build confidence by completing practical projects.

Point 2. Mastering Practical API Usage

You will learn in detail how to use various APIs, especially the Naver API, for web scraping and data collection. Through hands-on practice in JSON data processing and report generation, you will develop practical problem-solving skills.

Experience in version control and deployment using GitHub MCP will enhance your ability to adapt to real-world development environments.

Point 3. Complete Analysis of Google Antigravity

You will build a solid foundation in data analysis by installing Google Antigravity and configuring Rules and Skills yourself. From web scraping techniques to setting up data analysis workflows, you will master how to utilize powerful tools.

It starts with the basics of Python EDA and is structured so that even beginners can easily follow along.

Point 4. Online/Offline Practical Projects

In the final week, you will complete a real-world data analysis project by collaborating with team members offline. By experiencing the entire process—from design and analysis to sharing results—you can simultaneously improve your collaboration skills and practical business sense.

Prove your data-driven decision-making skills in practice.

Are you feeling overwhelmed and unsure where to start with data analysis?
This course was created specifically for people like you.

✔️ Beginners who want to develop data-driven decision-making skills

  • Those who are new to Google Antigravity but want to build a solid foundation in data analysis.

  • Those who want to experience practical data collection and analysis processes, such as Python EDA, web scraping, and API utilization.

  • Those who want to learn intensively in a short period through online live sessions and offline projects

✔️ Junior analysts who want to strengthen their Vibe Coding practical skills

  • Those who want to improve their practical data analysis and visualization skills based on Google Antigravity

  • Those who want to enhance their professional competitiveness by developing their ability to design and implement data-driven projects

  • Those who want to gain experience in collaboration and report automation through practical projects

✔️ Professionals who want to apply data analysis tools to their actual work

  • Those who want to learn practical data-driven decision-making methods using Google tools

  • Those who want to acquire skills that can be immediately applied in actual work, such as web scraping, API integration, and version control

  • Those who want to take their analytical capabilities to the next level through a systematic curriculum and the completion of practical projects


Don't just stay stuck in theory anymore.
Become a data analysis expert with Google Antigravity and Vibe Coding.

Notes before taking the course


Practice Environment

  • Operating System: Supports general-purpose operating systems such as Windows, macOS, and Linux

  • Main Tools: Python 3.x version, Google Antigravity library


Learning Materials

  • Lecture notes will be provided as a PDF.

  • Practice code and example data provided

  • Utilization of official Google Antigravity documentation


강사 프로필
LIVE

함께 소통할 수 있는 라이브가 예정되어 있어요!

04.21.Tu

AM 01:00

네이버 API를 활용한 데이터 수집과 분석

04.22.We

AM 01:00

GitHub MCP를 활용한 버전관리와 배포

4월

12일

챌린지 시작일

2026년 4월 12일 PM 03:00

챌린지 종료일

2026년 4월 29일 PM 02:30

챌린지 커리큘럼

All

12 lectures ∙ (9hr 21min)

Course Materials:

Lecture resources
Live

챌린지에서 배워요

  • Practical data analysis and visualization skills using Google Antigravity

  • Data-driven project design and implementation applying the Vibe Coding methodology

  • Completion of a practical data analysis project through online and offline collaboration

Recommended for
these people

Who is this course right for?

  • Those who want to apply data analysis tools to their practical work

  • Those who want to learn data-driven decision-making using Google tools

  • Those who want to strengthen their data analysis capabilities in a short period of time through intensive learning

Need to know before starting?

  • Available for 3 weeks to participate online 3 times a week and attend offline projects.

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

Free