Learn to automate your data preparation and cleaning workflows in Excel without writing complex formulas.
💬AI 강사 어떤 강의든 질문하면 언제든 즉시 명확한 답을 받을 수 있어요.
🕐언제든지 시작 정해진 일정이나 마감이 없어요 — 원할 때 자신의 속도로 배우세요.
🌐한국어로 강의, 과제, 수료증까지 — 모두 완전히 당신의 언어로.
이 과정 소개
Tired of manually cleaning and combining messy data in Excel? Power Query is the built-in tool designed to automate these repetitive tasks, saving you hours of work and eliminating manual errors.
This course provides a step-by-step guide to using the Power Query editor. You will learn how to connect to various data sources, apply transformations to clean and shape your data, and load the results back into Excel, creating refreshable reports that update with a single click.
What you'll learn:
- Connect to different data sources, from simple text files to entire folders.
- Apply essential data cleaning techniques like removing duplicates, splitting columns, and filtering rows.
- Merge and append queries to combine data from multiple tables into a single, unified dataset.
- Use the Power Query editor to transform data types, pivot columns, and create custom calculated columns.
- Understand the basics of the M language to read and make minor adjustments to your query steps.
- Implement fundamental error handling to make your data refresh process more robust.
- Practice building repeatable and automated data import and transformation processes.
The course starts with the core concepts and interface of Power Query, then progresses through practical exercises for transforming and combining data, establishing a solid foundation for your data analysis skills.
This course is designed for Excel users who are new to Power Query. No prior experience with data transformation tools is required.
Start learning today to streamline your data workflows.
받게 되는 것
📜수료증 LinkedIn 프로필에 추가
💬개인 AI 튜터 강좌에서 막혔나요? 내장 튜터에게 언제든지 무엇이든 물어보세요.
🎧오디오 버전 포함 화면 없이 어디서나 학습
♾️평생 이용 언제든 다시 보세요, 만료 없음
📱휴대폰 또는 컴퓨터 어디서든 모든 기기에서
💸14일 환불 이유 묻지 않음
⚡짧고 핵심적 3시간의 실용 학습
수료증
PickAClass에서 수료하는 모든 강좌는 이런 자격증을 발급합니다 — 원본, 고유 코드, URL 검증 가능, 그리고 실제로 입증한 내용을 상세히 기재.