[Digital Open Lab × Inflearn × YBM] From Data Collection to Reporting with Claude Code
Learn the core concepts of Claude Code-based data analysis automation through a free online live session. You will gain a step-by-step understanding of the process—from data collection and preprocessing to Exploratory Data Analysis (EDA) and AI-powered data analysis—and master practical data analysis methods using Claude Code.
1회 미션 수행
라이브 1 회
digitalopenlab님과 함께해요!
682
Learners
11
Reviews
4.9
Rating
7
Courses
Digital Open Lab supports the creation of convergence industries based on new digital technologies and their global expansion.
We operate digital technology-related educational programs and provide a space where various technical ideas can be tested.
Co-instructor
🎁 Build a foundation with a free online live session, and go all the way to practical implementation offline!
Digital Open Lab, Inflearn, and YBM have teamed up to
prepare a training program where you can experience AI-powered data analysis step-by-step, from basics to hands-on practice!
In the online live sessions, you will learn the core concepts of data collection,
preprocessing, and Exploratory Data Analysis (EDA) using Claude Code.
In the offline hands-on sessions, you can build your AI-based data analysis capabilities by analyzing data on topics of interest, creating HTML reports, and even constructing automated data analysis pipelines.
Ask questions directly, practice, and experience the entire flow of data analysis using AI! 💪
If you are interested in data analysis automation and AI-based data utilization using Claude Code,
don't miss this opportunity and apply now! 👉
📍 Information
Schedule
Online Live: 26.09.29(Tue) 18:00~20:00
Offline Training: 26.10.06(Tue) 13:00~18:00
Location
Online Live: Live participation link within the curriculum below
Offline: Digital Open Lab (Pangyo Startup Campus Building 1, 3rd Floor)
Topic Introduction
Knowledge Sharer: Data Popcorn
Course 6. From Data Collection to Reporting with Claude Code
Part 1. [Online Live] Basics of AI Data Analysis Based on Claude Code (2 hours)
Understanding the Claude Code-based data analysis process
Data collection and preprocessing using various data sources
Core concepts and application methods of Exploratory Data Analysis (EDA)
Understanding the automated data analysis process using AI
Part 2. [Offline Practice] AI Data Analysis Project (5 hours)
Hands-on data analysis project on topics of interest
Data visualization and insight derivation
Creating HTML-based analysis reports
Data Analysis Automation using Claude Code
Building reusable analysis automation pipelines
Recommended Audience
✔️ Developers and practitioners who are starting AI data analysis using Claude Code for the first time
✔️ Those who want to understand the entire flow of data analysis, from data collection to analysis and report writing
✔️ Those interested in automating data analysis using Generative AI
✔️ Those who want to build practical skills by directly conducting AI-based data analysis projects
Learning Outcomes
✔️ Understanding the data analysis process based on Claude Code
✔️ Strengthening capabilities in data collection, preprocessing, and EDA execution
✔️ Learn data visualization and how to create HTML-based analysis reports
✔️ Understand how to automate data analysis and build pipelines using AI
How to Apply
The application methods for the online live session and offline practice are different, so please make sure to check the details below!
🎬 Online Live
Available to Apply
Inflearn Challenge
※ If you wish to attend both online & offline sessions, you must apply through the Digital Open Lab page.
👨🏫 Offline Hands-on Training
Available to apply
※ Registration available only on the Digital Open Lab page
Training Location: Pangyo Startup Campus, Building 1, 3rd Floor
Precautions
Bringing your own laptop is mandatory for this training.
Cancellations are possible up to two days before the training date (must contact the person in charge). In the event of same-day cancellation, unauthorized absence, or leaving early,
restrictions will be placed on future applications for 2026 Digital Open Lab (Pangyo) training.Expert consulting will be provided to two selected trainees during the day of the training.
Please select whether you would like to receive consulting when applying for the training.
For approximately 10 minutes after the training, for two people randomly selected from among those who wish to participate,
Consulting will be provided.
Completion will be processed if you attend more than 80% of the daily training hours and participate in the satisfaction survey,
Certificates of completion will be sent only to those who apply after the training ends.
Parking space is limited, so we recommend using public transportation.
(Free parking is available for up to 3 hours and 30 minutes; 500 KRW per 10 minutes thereafter)
함께 소통할 수 있는 라이브가 예정되어 있어요!
09.29.화
오전 09:00
🔴 9월 29일 라이브 링크 [Claude Code 기반 데이터 수집 및 EDA]
9월
29일
챌린지 시작일
2026년 9월 29일 오전 09:00
챌린지 종료일
2026년 9월 29일 오전 11:00
챌린지 커리큘럼
All
2 lectures
Course Materials:
Reviews
취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.