About this Course

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Learner Career Outcomes

31%

started a new career after completing these courses

31%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

Comfortable working with data and datasets.

Approx. 13 hours to complete
English
Subtitles: English

What you will learn

  • Examine and improve an ineffective visualization

  • Examine and improve an ineffective visualization

  • Apply visualization best practices

  • Create and design visualizations that work best for the target audience

Skills you will gain

Data AnalysisTableau SoftwareData VirtualizationData Visualization (DataViz)

Learner Career Outcomes

31%

started a new career after completing these courses

31%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

Comfortable working with data and datasets.

Approx. 13 hours to complete
English
Subtitles: English

Offered by

University of California, Davis logo

University of California, Davis

Syllabus - What you will learn from this course

Content RatingThumbs Up88%(3,428 ratings)Info
Week
1

Week 1

3 hours to complete

Getting Started in Effective and Ineffective Visuals

3 hours to complete
8 videos (Total 50 min), 2 readings, 2 quizzes
8 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
2 readings
Please Read: A Note from UC Davis10m
Tableau Desktop vs. Tableau Public1m
1 practice exercise
Module 1 Quiz30m
Week
2

Week 2

3 hours to complete

Visual Perception and Cognitive Load

3 hours to complete
7 videos (Total 47 min)
7 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
1 practice exercise
Module 2 Quiz45m
Week
3

Week 3

2 hours to complete

Design Best Practices and Exploratory Analysis

2 hours to complete
10 videos (Total 70 min), 2 readings, 1 quiz
10 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
2 readings
Missed Opportunities and Graphical Fails10m
The Challenger: An Information Disaster10m
1 practice exercise
Module 3 Quiz28m
Week
4

Week 4

5 hours to complete

Design for Understanding

5 hours to complete
9 videos (Total 54 min), 2 readings, 2 quizzes
9 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
2 readings
Blogs and Articles About Data Visualization1h
Selected Books About Data Visualization, Data Analysis, and Perception/Cognition30m
1 practice exercise
Module 4 Quiz28m

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About the Data Visualization with Tableau Specialization

In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies. By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company....
Data Visualization with Tableau

Frequently Asked Questions

  • 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:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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