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Productivity

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Office

Practical Excel Data Analysis: Formulas, Power Query, Dashboard Creation

In this course, you can learn a wide range of topics, from basic Excel functions to advanced formulas, data visualization, and dashboard creation, with a focus on hands-on practice. By providing templates and solution files, self-study is possible, and you can maximize work efficiency by mastering data analysis skills that can be immediately applied in real-world scenarios.

(4.0) 5 reviews

28 learners

  • DataScienceOne
Excel
ms-office
Excel PowerQuery
DAX
MS-Office
dax
data-visualization

Reviews from Early Learners

What you will learn!

  • With this single lecture, you can learn everything from basic Excel navigation to advanced formulas, Power Query, Power Pivot, and data visualization.

  • Learn core practical skills intensively: Excel formulas, M code, DAX, etc.

  • Data Visualization Wireframe Theory: Color, Font, Layout, Creating Dashboards can improve understanding of optimal design practices.

“Do you feel like data analysis is too complicated?”

“Do you want to organize and visualize your data efficiently?”

In this course, you will learn how to analyze data, create reports, and build dashboards by utilizing various functions of Excel.

Specific outcomes you will achieve from this course:

  • Organized Data Sheets : Manage your data efficiently using advanced data cleaning techniques.

  • Efficient reports and dashboards : Use pivot tables and visualization techniques to present your data in an easily understandable format.

  • Project Experience : Apply the skills you learn in real-world situations through a capstone project based on a real-world scenario.

This course goes beyond simple functional explanations to cover how to maximize productivity in practice. You will learn in-depth techniques for data processing and analysis.


Why should I take this course?

💡 Maximize efficiency : Leverage a variety of Excel functions to expedite the data analysis process.
💡 Immediately applicable to practice : You can immediately apply what you learn through real-world examples.
💡 Grow as a professional : Master data analysis and visualization skills to perform better at your job.


Become an expert in data analysis and automation using Excel today! Learn Excel skills that will maximize your work productivity.

🔥 Features of this course 🔥

📌 Learn Excel functions that can be used immediately in real life
From basic Excel usage to data visualization, pivot tables, and advanced functions, you will learn step-by-step and learn various functions that can be applied immediately in practice.

📌 Provides efficient data processing and report writing methods
Learn how to streamline repetitive data processing tasks and create reports more efficiently using Excel.

📌 50% theory, 50% practice
By appropriately combining theory and practice, you can learn Excel's functions through practice and learn how to use them in actual work.

📌 Available for beginners to intermediate level
It is structured so that even beginners to Excel can easily follow along, and those who know the basic functions can quickly learn advanced content.

👍 I recommend this to these people 👍

Office workers who have difficulty analyzing and organizing data

For those who want to efficiently process data and create reports using Excel

For those who want to learn Excel skills in depth through real-world project experience.

Anyone can easily learn Excel basic formulas, advanced functions, data visualization, and practical applications!

This course is composed of 50% theory and 50% practice , so you can learn step by step. You can learn Excel functions through various practical examples and learn how to apply them in practice.

After taking the course, you will be able to:

  • Data Organization and Analysis : Learn Excel features that help you easily organize and analyze your data.

  • Create reports : Create readable reports using pivot tables and charts.

  • Project Completion : Gain hands-on experience by completing projects based on real data.

After taking the course , you will be able to:

  • Data cleaning and analysis
    Learn techniques to efficiently organize and analyze data using Excel's various functions. Learn techniques that can be applied immediately in the field, such as removing duplicates and handling blank values.

  • Report writing and visualization
    You'll learn how to create readable reports using pivot tables and charts, and how to effectively communicate information by applying data visualization principles.

  • Project performance and practical experience
    By working on projects based on real data, you can apply data analysis and visualization techniques and gain practical experience, which will help you strengthen your job-related skills.



    #MS-Office #dax #ExcelPowerQuery #data-visualization


Learn about these things.

Navigate the Excel Basic Menu

Get familiar with Excel's basic menus and worksheet components, and learn how to select data and format cells to create an efficient work environment.

Excel Basic and Advanced Functions

From basic formulas to advanced functions, you will strengthen your data analysis and calculation skills by utilizing functions such as SUM, VLOOKUP, and IF, and learn various formulas required in the field.

Excel Power Query and Power Pivot

Learn how to efficiently retrieve and organize data with Power Query, and how to model data and create calculated columns using DAX using Power Pivot.

Data Visualization and Projects (Creating a Financial Budget Dashboard)

Learn the fundamental principles of data visualization, design and implement dashboards to create a practical financial budget dashboard. Gain hands-on experience through projects based on real data.

Introducing the knowledge sharer (instructor)

Education:

  • Master of Health Informatics (University of Toronto)

  • Bachelor of Science in Medical Physics (Western University)

personal history:

  • Dec 2018 - Present: Ontario Workers Insurance Corporation - Senior Data Analyst

  • Sep 2015 - Mar 2018: CAMH Hospital - Lead Business Intelligence QA Analyst


bailiwick:

  • Business Intelligence / Data Modeling

  • Business Analysis / Data Analysis

  • Data Visualization / Product Development


Personal YouTube Channel:

  • Founder of YouTube Channel Data Science One


Things to note before attending the lecture

💻 Class environment information

  • Operating System and Version (OS) : Windows 10 or later, macOS

  • Tools used : Microsoft Excel (2016 or later recommended)

  • PC specifications : Minimum performance computer capable of running Excel

  • Target Audience : The course is structured so that even those without programming experience can follow along, but an understanding of basic Excel functions will help you learn more smoothly.

Learning Materials

  • Download Materials : All materials are provided in the [Section 0. Download Lecture Package] for practice materials.

  • Practical examples and datasets : Provides sample datasets for various data analysis practices.

  • Template : Data analysis and report creation template using Excel

  • Samples : Sample data analytics-focused reports and dashboards


Player Knowledge and Notes

  • Microsoft account creation and Office license verification required :


    If necessary, we recommend using the Office 365 trial version or purchasing the full version of MS Office 2016.

  • Experience using Excel :


    No experience is required to take this course, but basic Excel experience is helpful.

  • Understanding basic formulas and functions :


    An understanding of basic formulas and functions (SUM, AVERAGE, etc.) is helpful, but not required.

  • The lecture is based on the English version of Excel.
    Please note that although the practice files and lecture materials are provided in Korean, the English version of Excel screens are used within the video.


  • Unauthorized distribution of lecture materials is prohibited :


    Please refrain from unauthorized distribution of the material as this constitutes copyright infringement.

Recommended for
these people

Who is this course right for?

  • Excel novice

  • Office workers interested in data analysis and report writing

  • Those who want to increase productivity by using Excel in their work

Need to know before starting?

  • Excel Basics

  • Data Analysis Basics

Hello
This is

78

Learners

8

Reviews

5

Answers

3.9

Rating

4

Courses

데이터싸이언스원 | Taesun Yoo

링크딘 프로필 강사소개 [클릭]

주요 경력:

  • 온타리오주 근로자 보험 공단 (WSIB) 시니어 어드바이저 (1년)

  • 온타리오주 근로자 보험 공단 (WSIB) 시니어 데이터 분석가 (경력 5년)


학력:

  • 토론토 대학교: 보건 정보학 석사

  • 웨스턴 대학교: 의학 물리학 학사


전문 분야:

Data Analytics/Data Modeling/Business Analysis

Business Intelligence/Data Visualization/Product Development (Power BI)


기타: 데이터싸이언스원 유튜브 채널 [클릭]

  • 데이터 분석가로 취업에 도움이 되는 팁, 짧은 데이터 분석 포트폴리오, 유데미 코스 프로모션 등을 목적으로 강의를 업로드하고 있습니다!


10년 이상의 경력과 노하우를 바탕으로, 북미에서 데이터 분석가로 취업을 원하시는 분들을 위해 기술을 갈고 닦을 수 있게 강의를 만들고 있습니다. 기초부터 실제 기업에서 사용하는 응용 문제(Use Cases)까지 다루고 있습니다.

Curriculum

All

107 lectures ∙ (15hr 1min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

5 reviews

4.0

5 reviews

  • 고정하님의 프로필 이미지
    고정하

    Reviews 1

    Average Rating 4.0

    4

    31% enrolled

    1개의 강의가 짧아서 좋습니다. 음향이 초반에 잡음 혹은 에코가 있어서 잘 안들린 부분이 있었습니다.

    • DataScienceOne
      Instructor

      수강평 남겨 주셔서 감사합니다. 마이크 세팅을 최적화 해서 음질을 향상 하도록 하겠습니다.

  • HS님의 프로필 이미지
    HS

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    엑셀의 A-Z까지 강사님의 열정과 전문성이 녹아있는 훌륭한 강좌였습니다.

    • DataScienceOne
      Instructor

      안녕하세요 시간 들여서 수강평 남겨주셔서 감사합니다. 너무나 큰힘이되고 앞으로 더 좋은 콘텐츠로 찾아뵙겠습니다.

  • kangsc님의 프로필 이미지
    kangsc

    Reviews 8

    Average Rating 4.6

    5

    100% enrolled

    • fluree0732님의 프로필 이미지
      fluree0732

      Reviews 3

      Average Rating 5.0

      5

      13% enrolled

      강의 구성이 초급부터 중급, 고급에 이르기까지 전 과정에 대해서 실제 업무에 필요한 내용들로 짜임새 있게 구성된 것 같아요. 피벗테이블도, 파워쿼리 과정도 많이 기대되고, 기다려져요! 평소에 불편하고 번거롭게 클릭했던 작업들이 단축키로 간편하게 해결되는 부분에 첫 시작부터 많이 배워가요. 감사합니다.

      • asas님의 프로필 이미지
        asas

        Reviews 1

        Average Rating 1.0

        Edited

        1

        32% enrolled

        설명이 매끄럽지 못하고 사전 준비 없이 강의 준비한건가 라는 생각이 듣는 내내 들었습니다. 잠시만요 죄송해요 를 계속 반복하시고, round 함수를 쓰는 본인이 만든 예제에서도 자동으로 소수점이 탈락된 값에 왜이러지 이건 필요없네요 하시는 부분이나 본인이 작성해둔 출력 데이터와 다른 값이 나오는데도 왜이러지 어쨋든 하면서 넘어가는 부분에서 신뢰도가 하락되었습니다. 설령 값이 딱 떨어져서 round 함수가 필요없을지언정 본인이 활용 예제로 내었다면 활용이 되도록 예제 값을 수정하셔야 하는게 아닌지.. 강의로 내시기 전에 그걸 수정/반영하셔야 하는게 아녔는지 생각이 듭니다. 이거 말고도 이랬던 부분들이 더 많구요.. 강의 내용과 설명도 영어 기반으로만 하셔서 불편하고 무료 강의가 아닌 유료 강의인데도 강의의 퀄리티가 무료강의만 하지 못합니다. 좋았던 점은 강의 파트가 세분화 되어서 제가 아는 부분은 모두 스킵하기에 좋았다는 점 하나입니다.

        • DataScienceOne
          Instructor

          안녕하세요, 소중한 시간을 내어 강의에 대한 솔직한 피드백을 남겨주셔서 감사합니다. 강의 진행 방식이 매끄럽지 못했던 부분은 진심으로 아쉽게 생각하며, 이를 보완하기 위해 강의 영상을 다시 촬영하여 대체할 계획입니다. 말씀해주신 내용을 적극 반영하도록 하겠습니다. 다만, 강의 퀄리티가 무료 강의보다 못하다는 의견에는 동의하기 어렵습니다. 진행 방식에 있어서 아쉬운 점이 있었다는 점은 인정하지만, 강의에 담긴 콘텐츠와 실무 활용 예제의 깊이만큼은 자부할 수 있습니다. 또한, 엑셀 영어 버전을 기반으로 설명하면서 일부 수강생분들께 불편을 드릴 수 있다는 점을 미처 고려하지 못했습니다. 하지만 강의 영상과 실습 파일은 모두 한글로 제공되고 있으며, 해당 내용을 강의 개요에 명확히 명시하도록 하겠습니다. 앞으로도 더 나은 강의를 제공할 수 있도록 지속적으로 개선해 나가겠습니다. 다시 한 번 피드백 주셔서 감사합니다.

      $39.60

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