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Business Business Analytics & Intelligence Tableau

Tableau Interview Q&A: Tableau For Data Science Careers

Tableau Interview Questions To Maximize Your Chances Of Getting A Data Analytics Or Tableau Developer Or Analyst Job
Rating: 4.2 out of 54.2 (431 ratings)
3,058 students
Created by Kirill Eremenko, Ligency Team
Last updated 3/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Learn how to explain what Tableau is
  • Learn who the founders of Tableau are
  • Learn how to describe the mission of the company
  • Learn how to explain what a treemap visualisation is
  • Learn about Tableau Desktop and Tableau Server row and column limitations
  • Learn the difference between .twb and .twbx files
  • Learn how aggregation works in Tableau
  • Learn everything how context filters work
  • Learn two practical applications of context filters
  • Learn how data source filters work
  • Learn how blends work in Tableau
  • Learn how to append data to a Tableau extract
  • Learn how to "Union All" data using a Custom SQL query
  • Understand the difference between measures and dimensions
  • Understand the difference between discrete and continuous variables
  • Learn how to create a blended axis and how to control it

Requirements

  • Basic familiarity with Tableau
  • A passion to be successful

Description

This course is designed for me to pass on as much knowledge about Tableau to you as I can.

We will go through the most popular Tableau questions and I will reveal how I would go about answering each of these questions.

Moreover, there will be ample examples in this course and I will explain my answers in detail and actually show you how it all plays out in the software.

The course is broken up into three sections based on the question types:

  • Simple
  • Moderate
  • Difficult

Also you can use the questions in this course to check your knowledge of Tableau - after I reveal the question, pause the video and try to answer the question. Then check if your answer is the same as mine.

This is a short, dynamic, and fun course!

Unlike my other courses you won't have to do any exercises. The lectures have a conversational format, so all you need to do is relax and enjoy how we delve into the diverse world of Tableau.

I look forward to seeing you inside!

Kirill

Disclaimer: This course does not guarantee you getting a job or promotion. This course is designed to pass my knowledge of Tableau onto you. Although I have put in substantial effort into preparing this course there may be some things that are incorrect. Therefore, do not rely solely on these answers - these are nothing more than my opinions and experiences. Make sure to verify any information independently. I will not accept any responsibility for consequences of you relying on the information provided in this course for job interviews, professional work, and any other purposes.

Who this course is for:

  • Anybody who is interested in improving their Tableau skills
  • Anybody who is interested in learning more about how Tableau works

Featured review

Ben S
Ben S
61 courses
33 reviews
Rating: 4.5 out of 5a year ago
A nice variety of critical areas that may be mentioned in an interview or on the job. Reviewing and understanding them should instill more confidence in both discussing and implementing. While some features may be a little dated, still worth the time if you don't feel 100% comfortable with Tableau.

Course content

5 sections • 36 lectures • 2h 37m total length

  • Preview06:06
  • BONUS: Learning Paths
    00:51
  • Some Additional Resources!!
    00:13

  • Preview04:23
  • Updates on Udemy Reviews
    01:09
  • Who are the founders of Tableau?
    01:00
  • How is Tableau better than other products?
    04:54
  • What is the mission of the company?
    03:49
  • Name 1 advantage and 1 disadvantage of using Tableau extracts
    05:25
  • What is a treemap and what are the building elements of a treemap?
    03:38
  • How do you enable a dual axis on a chart?
    03:46
  • Is there a free version of Tableau? If so, what are its main limitations?
    05:28
  • What is the difference between CSV and Excel files?
    03:02
  • How do you change a quickfilter from a list of items to a dropdown?
    01:33

  • If a field is not in your view, can you use it as a filter for the view?
    01:45
  • How do you change level of detail without adding to the visualisation?
    05:46
  • Tableau Desktop and Tableau Server limitations question
    01:39
  • What is the difference between twb and twbx files?
    04:46
  • What are blended axes in Tableau and how do you create them?
    08:07
  • When can you delete worksheets and when can you only hide them?
    01:56
  • How do you make animations leave a trail?
    01:36
  • How do you run a simple linear regression statistical model in Tableau?
    03:10
  • How does aggregation work in Tableau?
    07:06
  • Is a blend in Tableau a type of join? If so, then which type?
    02:31

  • What are filters? How many types of filters are there in Tableau?
    00:58
  • Give an example of a use-case for Data Source filters
    06:28
  • Everything about context filters!
    16:15
  • What is the difference between joins and blends in Tableau?
    07:23
  • How do Blends work in Tableau?
    05:35
  • How do you combine Data through appending?
    04:06
  • How do you combine Data through a custom SQL query?
    06:40
  • What is the difference between static and dynamic sets?
    03:45
  • What roles do dimensions and measures play in Tableau?
    07:08
  • What is the difference between discrete and continuous variables in Tableau?
    12:06
  • THANK YOU bonus video
    02:40

  • ***YOUR SPECIAL BONUS***
    00:28

Instructors

Kirill Eremenko
Data Scientist
Kirill Eremenko
  • 4.5 Instructor Rating
  • 460,926 Reviews
  • 1,703,210 Students
  • 44 Courses

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

Ligency Team
Helping Data Scientists Succeed
Ligency Team
  • 4.5 Instructor Rating
  • 471,096 Reviews
  • 1,690,887 Students
  • 109 Courses

Hi there,

We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology.

See you in class,

Sincerely,

The Real People at Ligency

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