WHY I STUDIED THIS
This was my first real encounter with data as a system problem — not a homework problem. The program ran like a real consulting engagement: EDA on actual datasets, ERD design for a messy client database, building predictive models. Week 4's ERD exercise — taking chaotic, unstructured data and designing a relational schema from scratch — is almost exactly what I ended up doing at HL Mando three years later with automotive product catalog data.
So, what YEwon? Raw data is never ready to use. The discipline of structure-first thinking — ERD before analysis, schema before code — became a core part of how I approach every data problem.
< From practical data analyst and big data infrastructure to experiencing data analysis >
Lead mento Intro.
주제: 데이터 구조 파악 및 데이터에 대한 기본 정보 추출 (탐색적 데이터 분석)
내용: 실제 업무 기준으로 진행되는 프로세스에 따라 참여자분들이 실제 데이터 분석 프로젝트에 투입되었다는 가정하에 최초 수행되는 작업입니다. 제공되는 데이터를 대상으로 기초통계 및 데이터 자체에 대한 의미 파악 및 분석 업무를 수행합니다. 해당 과제 진행에 있어 서 요구되는 내용은 다음과 같습니다.
Topic: Understanding Data Structure and Extracting Basic Information (Exploratory Data Analysis)
Content: This task is the initial step assuming participants are involved in real data analysis projects based on actual work processes. It involves analyzing basic statistics and understanding the meaning of the data itself. The following are the requirements for this task: