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

Julie Pai +1 more instructor

Offered By

Use Tableau for Your Data Science Workflow SpecializationUniversity of California, Irvine

About this Course

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This course will take you through the various parts of analytical dashboarding: from best practices for designing a dashboard, creating a unified analytical environment, to deploying and publishing visualizations. We will briefly discuss the advanced visualization techniques and you will develop an information layout of the biggest gainers and losers in the financial markets and compare those movements to the economic data as your capstone project.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 3 of 3 in the

Use Tableau for Your Data Science Workflow Specialization

Approx. 9 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 3 in the

Use Tableau for Your Data Science Workflow Specialization

Approx. 9 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Julie Pai

Assistant Director of Technology Programs

Division of Continuing Education

12,582 Learners

8 Courses

Majed Al-Ghandour

4,289 Learners

3 Courses

Offered by

University of California, Irvine

Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UCI’s unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities in many ways.

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

From Data to Visual Understanding

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.

2 hours to complete

1 video (Total 3 min), 4 readings, 1 quiz

Week2

Week 2

2 hours to complete

Analytical Dashboarding

2 hours to complete

2 videos (Total 10 min), 2 readings, 1 quiz

Week3

Week 3

2 hours to complete

Deploying and Publishing

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.

2 hours to complete

2 videos (Total 11 min), 3 readings, 1 quiz

Week4

Week 4

3 hours to complete

Going Beyond

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.

3 hours to complete

2 videos (Total 7 min), 4 readings, 2 quizzes

About the Use Tableau for Your Data Science Workflow Specialization

This specialization covers the foundations of visualization in the context of the data science workflow. Through the application of interactive visual analytics, students will learn how to extract structure from historical data and present key points through graphical storytelling. Additional topics include data manipulation, visualization foundations, audience identification, ethical considerations, dashboard creation, and report generation. Demonstrations of the basic visualization techniques used in Tableau will be included with a hands-on project.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Dashboarding and Deployment

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