University of California, Irvine

Data Storytelling

This course is part of Use Tableau for Your Data Science Workflow Specialization

Taught in English

Some content may not be translated

Julie Pai
Majed Al-Ghandour

Instructors: Julie Pai

3,544 already enrolled

Included with Coursera Plus


Gain insight into a topic and learn the fundamentals

8 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile


4 quizzes


Gain insight into a topic and learn the fundamentals

8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills


Build your subject-matter expertise

This course is part of the Use Tableau for Your Data Science Workflow Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

For all but the simplest datasets, complex analytics requires a multivariate understanding of the data being studied. Visual interactivity with the data is a key component of multivariate analytics and makes finding higher dimensional relationships in complex datasets more intuitive. In this module, we’ll take a look at various chart types and visualizations used to express comparisons. You will also have the opportunity to practice correlations in Tableau.

What's included

2 videos4 readings1 quiz1 discussion prompt

How important do you think interaction is for general audiences to gain an understanding of complex data sets? In this module, we’ll explore how visual interactivity with the data makes higher dimensional relationships in complex datasets more intuitive and debate whether interactivity in visualization is a hindrance or help for larger audiences.

What's included

4 videos3 readings1 quiz1 discussion prompt

Why does storytelling matter when delivering data to your audiences? What are the principles of storytelling that you should implement into your visuals? In this module, we’ll examine aspects of storytelling and how to structure your story to effectively communicate the right insights to your key stakeholders.

What's included

1 video4 readings1 quiz1 discussion prompt

Any time we create a visualization, we create an abstract model of the data. As designers, we must ensure that the data is represented as truthfully and objectively as possible because they have the ability to mislead, deceive, or confuse. In this module, we’ll take a look at some problematic visualizations and how to avoid misrepresenting data. You’ll also put your knowledge to use and perform multivariate visualization methods in Tableau.

What's included

4 readings1 quiz1 peer review1 discussion prompt


Julie Pai
University of California, Irvine
8 Courses19,947 learners

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Recommended if you're interested in Data Analysis

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