Tableau Interview Q&A: Tableau For Data Science Careers
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
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Course content
- Preview06:06
- 00:51BONUS: Learning Paths
- 00:13Some Additional Resources!!
Instructors
- 4.5 Instructor Rating
- 466,766 Reviews
- 1,599,176 Students
- 120 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!
- 4.5 Instructor Rating
- 430,216 Reviews
- 1,513,488 Students
- 106 Courses
Hi there,
We are the SuperDataScience Social team. You will be hearing from us when new SDS 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 SuperDataScience