By skimming through the content of the Tableau certification, you can understand the overall functions of Tableau in a short period of time.
Recommend Course to grow and earn commission!
Marketing Partners
Recommend Course to grow and earn commission!
Reviews from Early Learners
5.0
Kyung Mo Kim
Perfect introduction to Tableau. Easy to repeat and learn in 5 minutes or so per lecture. Concise and clear information delivery. The honey tips here and there are really great for practitioners.
5.0
김준영
It was nice to be able to learn about Tableau from the basics.
5.0
최나현
Personally, I was studying Tableau on my own, but I had limitations, so I looked for a lecture that would teach me the basics and chose it. It was so easy to understand and I think I memorized it better when I actually tried it. Thank you~!!
Tableau Specialist Desktop Certification Full Range
Connecting data through Tableau
Data visualization through Tableau
How to Share Insights Through Tableau
Tableau Data Analysis/Visualization,
Master both basics + hands-on practice in one course!
Tableau is a convenient tool that allows you to analyze data and create dashboards with simple clicks. Therefore, it's a perfect tool for those who want to do data analysis but can't code.
But when you open Tableau, there's so much on the screen that you don't know where to start? Does the burden of learning for the first time feel overwhelming? Let's start with the goal of going through the certification exam scope!
🙋♀️ Beginners who want to quickly and lightly overview Tableau
🙋♀️ Those who want to do data analysis with just a click
🙋♀️ Anyone who wants to know which shortcuts are useful in Tableau
To enable data visualization and analysis that meets our needs, this course follows the official exam scope presented in the Tableau Desktop Specialist certification guide.
When learning any new knowledge, it's natural to feel overwhelmed about where to start. In such cases, I utilize exams. This way, I can naturally learn overall concepts while studying important content in more detail and initially passing over less important content for efficient learning.
It's perfectly fine even if you don't obtain a certification. From a beginner's perspective, I designed this course to reduce the burden of learning for the first time and allow you to approach Tableau step by step with a light heart. This year, take your first step toward Tableau!
The efficient learning scope suggested by the formula
Since it follows the official exam scope, selective focus is possible. Starting from the basics, you can understand what Tableau's components mean, and through the helpful tips that appear throughout, you can learn quickly and effectively.
Of course, studying this content by comparing everything on your own would be overwhelming due to the English terms and new vocabulary you'll encounter, right? However, in this class, we combine concept explanations with hands-on practice, so you can follow along on your own while watching the lessons. Furthermore, we've structured it to reduce the burden by re-explaining English terms in Korean.
Course materials designed for beginners + homework provided
Theory class PPT is also provided for students. The first slide contains key Tableau terms, allowing you to see at a glance what will be covered and which concepts and features are important.
Along with the table of contents excerpted from the Tableau certification guide, the final slide includes a review section that connects and reviews the content covered in the lectures. Additionally, we provide section-by-section assignments and solutions so you can practice Tableau while studying on your own. Check your Tableau skills directly!
The course is divided into 4 main parts.
This covers the basic concepts that Tableau has. We'll prepare for the next part by doing terminology organization on Dimension vs Measure / Discrete vs Continuous, etc.
You will learn step-by-step about basic Tableau charts (e.g., Bar chart, Line chart, Scatterplot, Map, etc.) and the Tableau features applied on top of them.
Since it covers various visualization methods and detailed analysis, this part is the most important. If you complete Part 1-2, you'll have the skills to independently analyze moderately-sized data like Excel datasets.
This covers Tableau's unique methods for effectively sharing insights discovered through data with others.
The ultimate goal of analyzing data is eventually to share the insights we've discovered with others. We will learn how to share the insights found through the content learned up to Part 2 using Tableau's Dashboard and Story features.
You will learn about methods needed when combining two or more data files. Since most people work with a single data file, this content may not be necessary for all students, but let's learn about new features that can be useful to master without any burden.
Q. What are the benefits of learning Tableau?
When data exceeds just 5 items, it becomes difficult to grasp its meaning with the naked eye. With thousands or tens of thousands of data points, it's nearly impossible to understand the overall picture without the help of tools. However, once you learn Tableau, you can grasp the characteristics of big data at a glance with just a few clicks. You can even experience the joy of discovering fresh insights that pop up each time you apply different methods.
Q. Can non-majors also take this course?
Yes, this course is for beginners. You can approach Tableau like the feeling of learning Excel for the first time with clicks!
Q. After completing this entire course, what level will I, as a student, be able to reach?
If you follow along well with the first 50% of the course, you'll reach a level where you can analyze the data you want on your own using Tableau. If you complete the remaining 50%, you'll reach a level where you can share your insights with others.
Who is this course right for?
People who can't code but want to do data analysis
Anyone who wants to look through Tableau's certifications
951
Learners
119
Reviews
40
Answers
4.9
Rating
5
Courses
I'm Gemma, a data analyst who started in mathematics, moved into a developer career, and eventually settled into my current role after studying statistics. In data analysis, the most important thing is identifying fresh insights and trends within the overflowing sea of big data. That’s easier said than done, right? However, if you can utilize the right analysis tools and methods, anyone is capable of discovering valuable gems. I would like to share these methodologies with you.
(Current) Data Analyst at LINE Plus
(Former) NAVER Data Analyst
MS in Applied Statistics, Politecnico di Milano, Italy
Bachelor of Science in Mathematics, Ewha Womans University (Double Major in Computational Science, Minor in Computer Science)
https://blog.naver.com/italian-lesson
(Personal Blog)
MS in Applied Statistics, Politecnico di Milano BS in Mathematics, Ewha Womans University (Double Major in Computational Science, Minor in Computer Science) https://blog.naver.com/italian-lesson (Personal Blog)
All
48 lectures ∙ (3hr 13min)
Course Materials:
All
92 reviews
4.8
92 reviews
Reviews 1
∙
Average Rating 5.0
5
It's the best for beginners. Each lecture is about 5 or 6 minutes long, so I think it's best because you can listen to it without getting bored. If the lectures are too long, you actually don't want to listen and lose focus, but since each lecture is short, you can finish it quickly without losing focus, which is really good. And I really like how you summarized the key points at the end.
Reviews 1
∙
Average Rating 5.0
Reviews 1
∙
Average Rating 5.0
Reviews 1
∙
Average Rating 5.0
Reviews 1
∙
Average Rating 5.0
Check out other courses by the instructor!
Explore other courses in the same field!
$42.90
![[Certification Preparation] National Technical Management Information Visualization Skills (Written Exam)Course Thumbnail](https://cdn.inflearn.com/public/files/courses/336327/cover/01jytyqa2egrzn52a7m57fntzk?w=420)
