Tableau Interview Q&A: Tableau For Data Science Careers
Tableau Interview Q&A: Tableau For Data Science Careers, available at $64.99, has an average rating of 4.5, with 38 lectures, based on 502 reviews, and has 3668 subscribers.
You will learn about 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 This course is ideal for individuals who are Anybody who is interested in improving their Tableau skills or Anybody who is interested in learning more about how Tableau works It is particularly useful for Anybody who is interested in improving their Tableau skills or Anybody who is interested in learning more about how Tableau works.
Enroll now: Tableau Interview Q&A: Tableau For Data Science Careers
Summary
Title: Tableau Interview Q&A: Tableau For Data Science Careers
Price: $64.99
Average Rating: 4.5
Number of Lectures: 38
Number of Published Lectures: 35
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 35
Original Price: $124.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Anybody who is interested in improving their Tableau skills
- Anybody who is interested in learning more about how Tableau works
Target Audiences
- Anybody who is interested in improving their Tableau skills
- Anybody who is interested in learning more about how Tableau works
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.
Course Curriculum
Chapter 1: Course Intro
Lecture 1: Welcome To The Course
Lecture 2: Some Additional Resources!!
Chapter 2: Easy Questions
Lecture 1: What is Tableau?
Lecture 2: Updates on Udemy Reviews
Lecture 3: Who are the founders of Tableau?
Lecture 4: How is Tableau better than other products?
Lecture 5: What is the mission of the company?
Lecture 6: Name 1 advantage and 1 disadvantage of using Tableau extracts
Lecture 7: What is a treemap and what are the building elements of a treemap?
Lecture 8: How do you enable a dual axis on a chart?
Lecture 9: Is there a free version of Tableau? If so, what are its main limitations?
Lecture 10: What is the difference between CSV and Excel files?
Lecture 11: How do you change a quickfilter from a list of items to a dropdown?
Chapter 3: Medium Questions
Lecture 1: If a field is not in your view, can you use it as a filter for the view?
Lecture 2: How do you change level of detail without adding to the visualisation?
Lecture 3: Tableau Desktop and Tableau Server limitations question
Lecture 4: What is the difference between twb and twbx files?
Lecture 5: What are blended axes in Tableau and how do you create them?
Lecture 6: When can you delete worksheets and when can you only hide them?
Lecture 7: How do you make animations leave a trail?
Lecture 8: How do you run a simple linear regression statistical model in Tableau?
Lecture 9: How does aggregation work in Tableau?
Lecture 10: Is a blend in Tableau a type of join? If so, then which type?
Chapter 4: Difficult Questions
Lecture 1: What are filters? How many types of filters are there in Tableau?
Lecture 2: Give an example of a use-case for Data Source filters
Lecture 3: Everything about context filters!
Lecture 4: What is the difference between joins and blends in Tableau?
Lecture 5: How do Blends work in Tableau?
Lecture 6: How do you combine Data through appending?
Lecture 7: How do you combine Data through a custom SQL query?
Lecture 8: What is the difference between static and dynamic sets?
Lecture 9: What roles do dimensions and measures play in Tableau?
Lecture 10: What is the difference between discrete and continuous variables in Tableau?
Lecture 11: THANK YOU video
Chapter 5: Congratulations!! Don't forget your Prize 🙂
Lecture 1: Bonus: How To UNLOCK Top Salaries (Live Training)
Instructors
-
Kirill Eremenko
DS & AI Instructor -
SuperDataScience Team
Helping Data Scientists Succeed -
Ligency Team
Helping Data Scientists Succeed
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 10 votes
- 3 stars: 57 votes
- 4 stars: 169 votes
- 5 stars: 259 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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