강의

멘토링

로드맵

Inflearn brand logo image
Productivity

/

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

  • siwon4126983님의 프로필 이미지
    siwon4126983

    Reviews 1

    Average Rating 4.0

    4

    31% enrolled

    Each lecture is short, which is great. There was some noise or echo in the audio at the beginning that made some parts hard to hear.

    • datascienceone
      Instructor

      Thank you for leaving a course review. I will optimize the microphone settings to improve the audio quality.

  • hshshs님의 프로필 이미지
    hshshs

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    It was a great course that was filled with the passion and expertise of the instructor from A to Z in Excel.

    • datascienceone
      Instructor

      Hello, thank you for taking the time to leave a review. It was a great help and we will come back with better content in the future.

  • kangsc3185님의 프로필 이미지
    kangsc3185

    Reviews 8

    Average Rating 4.6

    5

    100% enrolled

    • fluree07320834님의 프로필 이미지
      fluree07320834

      Reviews 3

      Average Rating 5.0

      5

      13% enrolled

      The lecture seems to be well-structured with content necessary for practical work, covering the entire process from beginner to intermediate and advanced levels. I'm really looking forward to and excited about the PivotTable and Power Query courses! From the very beginning, I'm learning a lot about how to easily solve tasks that I used to click on inconveniently and cumbersomely with keyboard shortcuts. Thank you.

      • dddddffddd님의 프로필 이미지
        dddddffddd

        Reviews 1

        Average Rating 1.0

        Edited

        1

        32% enrolled

        The explanation was not smooth and I kept thinking that the lecture was prepared without any prior preparation. He kept saying, "Just a moment, I'm sorry," and in his own example using the round function, he said, "Why is the value automatically dropped to a decimal point? This is unnecessary," and in the part where the output data he wrote was different from the value that came out, he said, "Why is this? Anyway, let's move on," which lowered my trust. Even if the value is exact and the round function is not needed, if he put it out as an example of use, shouldn't he have modified the example value so that it could be used? I think he should have modified/reflected that before putting it out as a lecture. There were many other parts like this. The lecture content and explanation were based only on English, which was inconvenient, and even though it was a paid lecture and not a free lecture, the quality of the lecture was not as good as a free lecture. The only good thing was that the lecture part was divided into sections, so I could skip all the parts I knew.

        • datascienceone
          Instructor

          Hello, thank you for taking the time to leave honest feedback about the lecture. I sincerely apologize for the parts of the lecture that were not smooth, and I plan to re-shoot the lecture video and replace it to improve this. I will actively reflect on what you have said. However, I cannot agree with the opinion that the lecture quality is worse than the free lecture. I admit that there were some shortcomings in the delivery method, but I can be confident in the depth of the content and practical application examples included in the lecture. In addition, I did not consider that explaining based on the English version of Excel might inconvenience some students. However, the lecture video and practice files are all provided in Korean, and I will clearly state this in the lecture outline. I will continue to improve to provide better lectures in the future. Thank you again for your feedback.

      $39.60

      DataScienceOne's other courses

      Check out other courses by the instructor!

      Similar courses

      Explore other courses in the same field!