Welcome to Tableau World

🗒 Course Introduction

What prompted you to create this course? Why did you create it?

I first encountered Tableau in late 2015. While Tableau wasn't unheard of in Korea at the time, I remember it clearly not being as popular as it is now. Asking around, most people were unfamiliar with it, and naturally, there was virtually no educational content or materials available in Korean.

At the time, I remember learning Tableau by myself, clicking around on various screens. Furthermore, workbooks and blogs created and shared by various Tableau users abroad served as mentors, greatly contributing to my Tableau skill development.

Even now, these authors' materials often inspire me and play a significant role in resolving my difficulties. Just as their work was a great help in learning Tableau back then, I thought it might be a good idea to systematically organize their work for those studying Tableau in Korea.

As a result, I launched a YouTube channel and began organizing the content into a systematic format for this course. I hope you've learned a lot, and I look forward to meeting you as colleagues using the same tools. :D

🌈 Express your data using Tableau

Tableau can be used for a truly diverse range of purposes. Currently, it's being used in countless business fields, including sales, marketing, commerce, journalism, and manufacturing. Recently, Tableau is also being adopted by the public sector. Data art, which beautifully expresses data from an artistic perspective, is another area where Tableau can be utilized. I'll share a few representative screenshots of the screens you can create using Tableau.

<Example of a Sales Business Dashboard>

<Example of YouTube Channel Monitoring in the Media Field>

<Example of fine dust-related data art>

To create these kinds of Tableau screens, mastering the fundamentals of Tableau is crucial. As is true in all fields, including software, the quality of your results can depend entirely on a solid foundation. I'm confident that the "Welcome to Tableau World" class offered here will be a great help in building that foundation!

🙌 Tools used in this lecture

The Tableau desktop version is a paid product, but it comes with a two-week free trial. You can download the Tableau desktop version here . The Tableau public version is free and can be downloaded here . The main differences between the desktop and public versions are (1) the public version cannot save workbooks created locally, and (2) the public version cannot load data stored in a database. The public version is also suitable for following this course. You can download Tableau installation guidelines here . Please refer to them when installing Tableau!

🙋🏻‍♂️ I'm curious!

Q. Can non-majors also take the course?
A. Basically, if you have any experience working with data, of any kind, it'll be much easier to learn Tableau. Learning Tableau is ultimately about working with data. However, you don't need any such background. I, too, have a humanities background and only began analyzing data in earnest in graduate school. So, even if you don't have a science or engineering background, as long as you have the passion, you'll have no trouble learning Tableau. In fact, I think it'll serve as a great foundation for those who want to enter the world of data.

Q. Why should I learn Tableau? What are the benefits of learning it?
A. It's the most widely used data visualization and BI tool in the industry. In fact, this alone doesn't require any other justification. Think of five companies that most people would recognize, and you wouldn't be wrong if you assumed four or five of them use Tableau. I'm not saying that Tableau guarantees employment or a job change. However, I can assure you that Tableau skills will be a "huge" help in finding a job or changing careers.

Q. Are there any special advantages to this course?
A. It's true that the number of Tableau-related training programs has been increasing in Korea recently. This growth in users is a welcome development. One of the greatest strengths of this course is its systematic structure. If we were to take a course on how to use tools like PowerPoint or Excel, we wouldn't necessarily cover every detail of the tool from A to Z. It would be best to focus on learning important, frequently used techniques along with some theoretical background. The remaining details can be explored as needed while using the tool. This course is structured in the same way. The curriculum focuses on the core elements of Tableau, focusing on what new learners need to know. The criteria for determining what is essential is how frequently a feature is used in real-world situations. I've distilled my diverse practical experience to identify the essential and less important, and that experience is incorporated into the curriculum.