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Certificate (Data Science)

Tableau Certification Problem Solving

Solve 88 expected questions for the 'Tableau Desktop Specialist' certification. Practice with Tableau programs directly.

(5.0) 4 reviews

39 learners

Level Basic

Course period Unlimited

  • Gemma
Tableau
Tableau
Tableau
Tableau

What you will gain after the course

  • Tableau Specialist Desktop Certification Full Range

  • Connecting data through Tableau

  • Data visualization through Tableau

  • How to Share Insights Through Tableau

I took the Tableau basics course,
Next step: Getting Tableau Certification?

Tableau, a powerful data analysis/visualization tool

Tableau is a convenient tool that allows you to analyze data and create dashboards with just a click. It's the perfect tool for those who want to analyze data but aren't good at coding .


Some of you may be feeling overwhelmed at first, unsure of where to start, so you might be starting with the first step toward Tableau . Now that you've mastered the basics, I recommend this course to anyone wondering what to do next.
Now, let's aim to get a certificate !

Aiming to obtain a certificate!

To reduce the burden and increase efficiency.

  • We will focus on solving practical problems to prepare for the Tableau Desktop Specialist exam .


  • You will practice a total of 88 problems , solving 10 to 15 problems per lecture.

  • For each lecture, we provide a PDF of the problems and explanations .

  • Since the Internet and Tableau programs are prohibited in the actual exam, it is important to familiarize yourself with Tableau by using it yourself.

Commentary PDF provided for each lecture

Hands-on practice with Tableau programs

Additional explanations not covered in the basic lecture!

  • The first step toward Tableau was a basic course for practical use, so it did not cover the entire scope of the certification exam.

  • In this lecture, we have added parts that were not covered in the basic lecture.

Additional explanation before solving the problem

Detailed Curriculum

Part 1. Understanding Tableau Basics

Covers the basic concepts of Tableau, such as Dimension vs. Measure and Discrete vs. Continuous.

Part 2. Data Analysis

We cover basic Tableau charts (e.g., Bar chart, Line chart, Scatterplot, Map, etc.) and Tableau's features applied on top of them.

Part 3. Sharing Insights

This article covers Tableau's unique methods for effectively sharing insights discovered through data with others . You'll learn how to share data insights using Tableau's Dashboard and Story features.

Part 4. Data Connection

Learn how to merge two or more data files .

Q&A

Q. What are the benefits of learning Tableau?

Even with just five or more data points, it's difficult to grasp their meaning visually. For data points approaching thousands or even ten thousand, it's difficult to grasp their meaning without the help of tools. However, with Tableau, you can grasp the nature of big data at a glance with just a few clicks. You'll also enjoy the thrill of discovering new insights as you apply various methods.

Q. Is this a course that non-majors can also take?

Yes, but if you are new to Tableau, I recommend you start with First Steps to Tableau .

Q. Can I get a certificate right away after completing this course?

As you'll see from the problem-solving lectures, many of the questions require memorization to solve. Therefore, I recommend thoroughly preparing for the exam as outlined below.

  • First steps toward Tableau Complete mastery of the basics

  • Solve 88 problems, read at least 3 times

  • After requesting a free problem in the question box, solve the problem yourself


Recommended for
these people

Who is this course right for?

  • People who completed the course 'First Step to Tableau'

  • People who want to get Tableau certification

  • People who want to thoroughly review the basics of Tableau

Need to know before starting?

  • Tableau

Hello
This is

943

Learners

118

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)

Curriculum

All

13 lectures ∙ (1hr 36min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

4 reviews

5.0

4 reviews

  • mrje7646님의 프로필 이미지
    mrje7646

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    • sejin02155862님의 프로필 이미지
      sejin02155862

      Reviews 7

      Average Rating 5.0

      5

      68% enrolled

      • gyeongil20032341님의 프로필 이미지
        gyeongil20032341

        Reviews 3

        Average Rating 5.0

        5

        14% enrolled

        I think the best part is that it broadens your perspective by teaching you rich and diverse approaches to each problem type. Usually, other lectures assume everyone already knows this and just skip over it or skip the explanation, so it's hard to understand, but this lecture explains it step by step in detail without skipping any part of the solution process, so you can understand it really well without missing anything. I think the lecturer is really meticulous by nature.

        • lee5000won4814님의 프로필 이미지
          lee5000won4814

          Reviews 1

          Average Rating 5.0

          5

          91% enrolled

          It was a useful Tableau practice that could appear on the exam.

          $34.10

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