Apply basic visualization techniques in Tableau. . Master visualization techniques and design strategies to present key points through graphical storytelling.

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Julie Pai +1 more instructor

Offered By

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

What you will learn

Explain fundamental concepts behind visualizations.
Setup and perform data analysis using industry-standard models.
Create a Tableau dashboard implementing major tasks of analytics deployment: define business goals, prepare data, select, model, and present results.

Skills you will gain

Multivariate Analysis
Univariate Analysis
visual storytelling
Tableau Software
Dashboard Design

About this Specialization

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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.

Applied Learning Project

Learners will incrementally develop a dashboard in Tableau of the S&P 500 as well as its major components and economic drivers. Course projects include the application of design principles and storytelling techniques. A survey of available visualization tools will be included as well.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

A least one year of experience in data science and/or data analytics.

Approximately 3 months to complete

Suggested pace of 2 hours/week

English

Subtitles: English

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

A least one year of experience in data science and/or data analytics.

Approximately 3 months to complete

Suggested pace of 2 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 3 Courses in this Specialization

Course1

Course 1

Data Visualization Best Practices

In this course, we will cover the basics of visualization and how it fits into the Data Science workflow. We will focus on the main concepts behind the purpose of visualization and the design principles for creating effective, easy-to-communicate results. You will also set up your Tableau environment, practice data loading, and perform univariate descriptive analysis of the S&P 500 stock sectors.

Course2

Course 2

Data Storytelling

This course will cover the more complex concepts that become involved when working beyond simple datasets. Exploring the connection between visual aspects and data understanding, we will examine how those concepts work together through data storytelling. After reviewing key points on how to avoid problematic visualizations and data misrepresentation, you will continue working in Tableau performing multivariate descriptive analysis of the S&P 500 stock sectors.

Course3

Course 3

Dashboarding and Deployment

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.

Instructors

Julie Pai

Assistant Director of Technology Programs

Division of Continuing Education

8,196 Learners

7 Courses

Majed Al-Ghandour

2,244 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.

Frequently Asked Questions

What is the refund policy?
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.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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.
Can I take the course for free?
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
How long does it take to complete the Specialization?
9 weeks
What background knowledge is necessary?
A least one year of experience in data science and/or data analytics. Students who do not have the recommended experience should review the Fundamentals of Data Science Specialization: https://www.coursera.org/specializations/data-science-fundamentals
Do I need to take the courses in a specific order?
It is recommended that you take the courses in the order they appear in the series.
Will I earn university credit for completing the Specialization?
You will receive a certificate but university credit is not awarded.
What will I be able to do upon completing the Specialization?
This specialization can start you on a successful career path as a data analyst, data scientist, data science manager, or data engineer.

More questions? Visit the Learner Help Center.