Make Your Data Come Alive Visually
Next start date:
April 3, 2019
A picture speaks a thousand data points. In a data-driven world, the ability to display large amounts of information through powerful visualization tools is increasingly important for business success. The career outlook for professionals who are well-versed in these tools is extremely bright.
In this three-course certificate program, we’ll explore ways to organize and derive meaning from vast amounts of data by using visual presentation tools and techniques. You’ll learn to create rich and intuitive representations that can help your business make more insightful decisions. Use principles drawn from the fields of visual design, perceptual psychology and cognitive science to develop your ability to make the data make sense for everyone.
Professionals who want to more effectively utilize data in their work.
▸ Related Article: Find the Right Data Program For You
Applicants must have:
If you're not a native English speaker, you’ll need to have at least basic English language skills to enroll. To learn more, see English Language Proficiency Requirements.
Because this offering is 100 percent online, no visa is required and international students are welcome to apply. For more information, see Admission Requirements for International Students.
You must have access to a computer (Windows or macOS), and classroom students must bring laptops. A high-speed internet connection is recommended.
You earn the certificate by adhering to the program's attendance policy and successfully completing all required courses. For more information, see Earning the Certificate.
Ben Jones, instructor for the Certificate in Data Visualization, talks about the valuable technical skills that students acquire in the program.
Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.
Data Visualization Theory: A Practical Introduction
Data Visualization Presentation: Dashboards & Storytelling
Decision Making through Data Visualization
Certificate in Data Visualization
Approved by the UW Paul G. Allen School of Computer Science & Engineering and developed under the guidance of the eScience Institute.
View this program's advisory board.
Each of our programs uses an advisory board to review content, guide design and recommend updates to ensure the program remains current as the field of study evolves. By tapping the minds of the top thinkers, doers and leaders in the field, we offer a transformational learning experience. The following individuals serve as the advisory board for this program.
Naomi Bogenschutz, Assistant Director, UW Continuum College
Sean Boon, Program Manager, Tableau Software
Josh Fennessy, Business Intelligence Architect, BlueGranite, Inc.
Amy Forstrom, Program Manager, Tableau Software
Wendy Gable Collins, Senior Visual Designer, King County
Mark Korver, Geospatial Lead, Solution Architecture, Amazon Web Services
Paolo Malabuyo, Director of Design, Netflix
Callie Neylan, Senior Designer, Microsoft
Bart Pietrzak, BI Solutions Architect, University of Washington
Jen Stirrup, Director, Professional Association of SQL Server, Microsoft MVP
Paul Turley, Mentor, SolidQ, Microsoft MVP
Stacia Varga, Principal Consultant, Data Inspirations, Microsoft MVP
"The UW data visualization program was the best thing I’ve ever done for professional development. It’s been a really great way to enhance this part of my career."
In this short video, Porsche Everson talks about how the Certificate in Data Visualization enabled her to upgrade her skills and gain recognition for her work.
Combine the convenience of online learning with the immediacy of real-time interaction. You’ll stream courses online and interact with your instructors and fellow students via chat, web conferencing or phone, all in real time. Learn More »
We’re currently accepting applications and will be reviewing them in the order they’re received. We’ll accept applications until Wednesday, March 20, 2019, at 11:59 p.m. Pacific Time, or until the program fills, whichever comes first.
Complete your application and submit the materials listed in step 1, along with your $50 nonrefundable application fee.
OR Download the application form
We’ll contact you within two weeks of receiving your application materials to let you know if you’ve been accepted to the program.
If you’re accepted, we’ll send you details about your first-term course, including information on how to register and pay your course fees. Payment is due no later than two days before your first class.
With the exception of the one-time application fee, certificate program fees are charged on a quarterly basis. Payment is due when you register.
Course fees do not include any costs for class materials such as textbooks and software.
Drops, Withdrawals & Refunds
Director of Outreach Programs, Tableau Software
Data Visualization Lead, Qumulo
Manager, Product Testing, Tableau
Your company can help pay for that career-boosting certificate or degree program — if you know how to ask. Find out how to best position yourself for educational assistance.
Data analytics is one of the hottest fields around today. But if you're new to the field, how do you get started? Here are four skills that every data analyst needs.
Whether you're interested in data analytics, machine learning or another data specialization, we have programs for you. Compare our data-related offerings.
If you’re thinking about heading back to school, you’re probably also wondering how you’ll pay for it. To help you figure that out, we’ve put together a list of ways to help fund your education.
Big data keeps getting bigger. So does the demand for skilled professionals who can make sense of it all. Read on to learn more about data scientists and what it takes to do this hot job.
Develop a broad understanding of the technical concepts of database management. Explore the Structured Query Language and build a basic relational database from scratch.
Practice analyzing marketing data to answer specific business questions and recommending ways to optimize digital marketing efforts. Build expertise in Google Analytics.
Investigate data collection processes and find out how to extract, parse and interpret the information, and learn best practices for communicating the results to decision makers.
Discover how to make, and defend, critical business decisions by applying powerful data analysis tools and statistical techniques to large-scale data sets.
Learn how to apply cutting-edge tools and techniques to extract meaning from data sets ranging in size from gigabytes to petabytes.
Acquire the skills to perform sophisticated data analysis and modeling, data mining and big data management using powerful statistical tools and R programming.