10 Common Data Visualization Interview Questions (+ Answers)
December 17, 2024
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This course is part of Data Visualization with Tableau Specialization
Instructor: Desiree' Abbott
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(6,683 reviews)
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Beginner level
Must be comfortable working with data and datasets.
(6,683 reviews)
Recommended experience
Beginner level
Must be comfortable working with data and datasets.
Install Tableau Public Software and create a visualization
Examine and navigate the Tableau Public workspace
Practice and connect to different data sources
Examine ways to define your project
Add to your LinkedIn profile
4 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.
In this module, you will be able to define what data visualization is and discuss why it’s so important. You will listen to an interview with Dr. Ben Shneiderman, a modern pioneer of data visualization. You will be able to define interactive visualization and install Tableau Public so you can start to get acquainted with it for the next module. You will be able to make a simple viz so you can clearly see what skills are used in the process.
7 videos3 readings1 assignment1 peer review2 discussion prompts
In this module, you will be able to identify and describe the various parts that make up the welcome screen, worksheet screen, and dashboard screen.
6 videos1 assignment1 discussion prompt
In this module, you’ll be able to identify potential questions to answer with a given dataset. You will be able to make three different charts: a line chart, a tree map, and a bar chart. You will be able to create a dashboard with those charts, and be able to add some simple dashboard interactions.
6 videos1 assignment3 discussion prompts
In this module, you will be able to discuss where to get help. You will also be able to discuss where to go for inspiration and how to get involved in the Tableau community. If you are up for the challenge, you will also have the option to obtain an honor badge by applying five data visualization best practices and participate in a #MakeoverMonday peer reviewed project. Good Luck!
6 videos1 assignment1 peer review
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Reviewed on Mar 11, 2021
Very good introduction to Tableau and visualizations. It's quite easy, but I has really attracted my interest in the topic and I am very curious about the next course of this specialization.
Reviewed on Aug 24, 2020
Am glad I learnt a lot from this module, which I know will sharpen my skills for my chosen career path as a data scientist. Am hoping to learn more new skills to improve on my already existing skills.
Reviewed on May 19, 2020
It was easy to follow and the course materials and the resources helped a lot. I used the Tableau Desktop version and still, it accommodated it in the assignment. Very Well structured course
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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