Essential Design Principles for Tableau

4.5
541 ratings
94 reviews

Course 2 of 5 in the Data Visualization with Tableau Specialization

In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the "right" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.
Globe

100% online course

Start instantly and learn at your own schedule.
Beginner Level

Beginner Level

Clock

Approx. 15 hours to complete

Suggested: 4 weeks of study, 5-7 hours/week
Comment Dots

English

Subtitles: English

What you will learn

  • Check
    Apply essential design principles to your Tableau visualizations
  • Check
    Choose the appropriate visual representation for your data
  • Check
    Explain the similarities and differences of exploratory and explanatory analysis
  • Check
    Make strategic use of contrast to highlight important insights
Globe

100% online course

Start instantly and learn at your own schedule.
Beginner Level

Beginner Level

Clock

Approx. 15 hours to complete

Suggested: 4 weeks of study, 5-7 hours/week
Comment Dots

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section
Clock
3 hours to complete

Getting Started in Effective and Ineffective Visuals

Welcome to this first module where we are going to start you off with background information about how the human brain perceives the world and then you will discover effective and ineffective visuals. By the end of this module, you will be able to recognize how the brain relates to visual design. You will know the difference between cognitive versus perceptual design. You will learn the various visualization options offered by Tableau and some of their advantages and disadvantages. You will discuss why how good ethical practices play in designing visualizations. You will also start to examine ineffective visualizations and learn how to improve them....
Reading
8 videos (Total 50 min), 1 reading, 2 quizzes
Video8 videos
The Human Brain and Data Visualization5m
Cognitive vs Perceptual Design Distinction4m
Introduction of Effective and Ineffective Visuals1m
Types of Visualizations5m
Examples of the Types of Visualizations in Tableau12m
Practicing Good Ethics in Data Visualization9m
Ineffective Visuals and How to Improve Them7m
Reading1 readings
Tableau Desktop vs. Tableau Public1m
Quiz1 practice exercises
Module 1 Quiz30m

2

Section
Clock
3 hours to complete

Visual Perception and Cognitive Load

Welcome to this second module. This module will explore specific data visualization concepts that apply the concepts you learned about how the human brain works from the last module. In this module, you will be able to define cognitive load and what clutter means from a visualization perspective. You will be able to visually illustrate the principles of visual perception and use contrast to enhance your visualizations. You will be able to define and use pre-attentive attributes like color to make effective visualizations....
Reading
7 videos (Total 47 min), 1 quiz
Video7 videos
Cognitive Load and Clutter8m
Principles of Visual Perception4m
Strategic Use of Contrast10m
Pre-Attentive Attributes of Visualizations4m
Color as a Pre-Attentive Attribute9m
De-Cluttering Exercise7m
Quiz1 practice exercises
Module 2 Quiz45m

3

Section
Clock
2 hours to complete

Design Best Practices and Exploratory Analysis

In this module, we revisit some of the concepts introduced from the previous module. You will be able to apply Gestalt Principles and leverage pre-attentive attributes in your visualizations. You will examine the role of accessibility and aesthetics play in your creations. Also, you will be able to define the ideas of exploratory and explanatory analysis and be able to normalize your data and identify outliers. Finally, you will be introduced to a challenging concept and construct a control chart to set you up to perform more advanced exploratory analysis....
Reading
10 videos (Total 70 min), 2 readings, 1 quiz
Video10 videos
Gestalt Principle: Proximity6m
Leveraging Pre-Attentive Attributes10m
Accessible Visualizations11m
Aesthetics7m
Design and Exploratory Analysis Introduction1m
What is Exploratory and Explanatory Analysis?2m
Case Study: Anscombe's Quartet10m
Identifying Outliers8m
Constructing a Control Chart8m
Reading2 readings
Missed Opportunities and Graphical Fails10m
The Challenger: An Information Disaster10m
Quiz1 practice exercises
Module 3 Quiz28m

4

Section
Clock
5 hours to complete

Design for Understanding

Making sense of large, multi-dimensional data sets can be a challenge for anyone. Your task as a designer is to make good decisions about encoding, arranging, and presenting data to reveal meaningful patterns and stories for your audiences. After completing this module, you will be able to design your visualizations for a target audience and with purpose. You will be able to identify the connection to between data, relationships and good visual design. You will implement additional design tools and tips into your visualizations. ...
Reading
9 videos (Total 54 min), 2 readings, 2 quizzes
Video9 videos
Know Your Audience(s)5m
Design For Purpose7m
Data, Relationships, and Design5m
Static Versus Interactive Visualizations8m
Multiple, Connected View4m
Language, Labeling, and Scales5m
Visual Lies and Cognitive Bias11m
Final Thoughts1m
Reading2 readings
Blogs and Articles About Data Visualization0m
Selected Books About Data Visualization, Data Analysis, and Perception/Cognition30m
Quiz1 practice exercises
Module 4 Quiz28m
4.5

Top Reviews

By VLMar 11th 2018

The course uncovers the science of the design for data. It is certainly very helpful for my job where have to present a lot of data in different perspectives for senior management.

By AHMay 30th 2017

It is an excellent course!!! very well designed and very proficient talk on most difficult and most important skills related to data visualization....Enjoyed it sooo much!!!

Instructors

Avatar

Govind Acharya

Principal Analyst
Avatar

Hunter Whitney

Sr. Consultant, Author, Instructor

About University of California, Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.

  • Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.

More questions? Visit the Learner Help Center