University of California, Irvine

Dashboarding and Deployment

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

Included with Coursera Plus


Gain insight into a topic and learn the fundamentals

9 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

9 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
  • Earn a shareable career certificate

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There are 4 modules in this course

Now that you know the primary visualization methods and how to address the action and interaction patterns necessary for visual analytics, it’s time to put it all together. What are the principles of good dashboard design and how do you determine the most effective dashboard to communicate your story? In this module, we’ll take a look at the considerations and processes for creating an analytical dashboard.

What's included

1 video4 readings1 quiz1 discussion prompt

After the target audience, objectives, and principles have been clearly defined, creating the dashboard itself is less of a technical exercise and more of a design challenge. This module brings all these elements together into a unified analytical environment. You’ll begin to put everything together in Tableau and design your dashboard.

What's included

2 videos2 readings1 quiz1 discussion prompt

In the past, deploying and publishing visual analytics was challenging for many organizations. The underlying data management and engineering pipelines were much less capable than today’s backend systems. In this module, we’ll investigate what to do as new analytical platforms enter the market and mature over time, how to stand out as a data visualization expert, and discuss considerations for creating custom visualizations.

What's included

2 videos3 readings1 quiz1 discussion prompt

Consider what you’ve learned so far in this specialization. How might you use geospatial analysis or network analysis in your data science workflow? In addition, how might you design visuals to explain how data has changed over time? In this module, we’ll briefly discuss advanced features that can be used to answer these questions in Tableau. As you reflect on the course content, you will also finalize your capstone project, making use of storytelling principles and best practices for focusing and decluttering, and develop an information layout.

What's included

2 videos4 readings1 quiz1 peer review


Julie Pai
University of California, Irvine
8 Courses21,002 learners

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