

In just 2 weeks, here's what you'll get
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
Starts Apr 13
Finish Apr 29
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).
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 to analysis, 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.
Level up 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 building 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 practical 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 real-world tasks, 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 real-world 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
Hands-on Environment
Operating System: Supports universal 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
4월
12일
챌린지 시작일
2026년 4월 12일 오후 03:00
챌린지 종료일
2026년 4월 29일 오후 02:30
챌린지 커리큘럼
All
20 lectures ∙ (25hr 11min)
Course Materials:
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.
Reviews
All
15 reviews
4.9
15 reviews
mtwcs025153Reviews 1
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Average Rating 5.0
ryun04082740Reviews 1
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Average Rating 5.0
Edited
5
56% enrolledI highly recommend Google Antigravity to anyone who wants to gain experience beyond their major and expand their field of expertise. I majored in biology and had some interest in coding, but as a non-major, I had a vague fear of how and where to start. However, through this lecture, I have become able to do "vibe coding," even if only at a basic level, and I feel that this course has provided new momentum for my coding studies and career development. It was a time that allowed me to build the courage and capability to take on various challenges, such as creating a portfolio and analyzing data in my field using Antigravity. Thank you for such a sincere and genuine lecture.
gaengheeReviews 1
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Average Rating 5.0
5
50% enrolledI had a long career break due to personal reasons, so I wasn't very familiar with AI. It was truly great to learn about a cutting-edge tool like Antigravity through this lecture. The instructor explained everything step-by-step so that all students could understand. I believe everyone was able to complete the course because the instructor constantly checked our level of understanding while progressing through the lessons. I was able to learn the basics of data analysis, and now I have the confidence to utilize AI. I will continue to improve based on what I've learned! Thank you so much for the lecture!
ddrwsy38005784Reviews 1
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Average Rating 5.0
hyseon20Reviews 1
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Average Rating 5.0
취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

