Make Your Data Come Alive Visually
Next start date
October 10, 2017
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 data make sense for everyone.
Data professionals and others who regularly use data in their work.
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.
International students are welcome to apply to an online offering of this program, which doesn’t require a visa. To enroll in a classroom offering, you must have a visa that permits study in the United States. This program does not enable students to obtain or maintain F-1 visa status. For more information, see Admission Requirements for International Students.
You must have access to a computer (both Windows and Mac OS are acceptable), and classroom students must bring laptops. A high-speed Internet connection is recommended.
You earn the certificate by successfully completing all required courses. For more information, see Completing Your Program.
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 Strategies
Decision Making through Data Visualization
Certificate in Data Visualization
Approved by the UW Department 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.
Sanjay Asnani, Program Director of Education, Amazon Web Services
Naomi Bogenschutz, Program Manager, UW Professional & Continuing Education
Sean Boon, Program Manager, Tableau Software
Rovy Branon, Vice Provost, University of Washington Continuum College
Olly Downs, Chief Scientist/CTO, Globys, Inc.
Josh Fennessy, Business Intelligence Architect, BlueGranite, Inc.
Stephanie Fine, Senior Clinical Analyst, Cardiovascular Portfolio, Providence Health & Services
Amy Forstrom, Program Manager, Tableau Software
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
Attend classes part time at one of our convenient locations in the Puget Sound region. You’ll engage face to face with your classmates and instructors as part of a highly interactive curriculum. Learn More »
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 »
Download the application form (PDF)
Apply online, or submit an application packet that includes:
We’re currently accepting applications and will be reviewing them in the order they’re received. We’ll accept applications until the program closes.
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 paying your course fee. Your course fee is due four weeks before the 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
Program Manager, Microsoft
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.
Discover how to make, and defend, critical business decisions by applying powerful data analysis tools and statistical techniques to large-scale data sets.
Explore and evaluate the different cloud solutions offered by Amazon, Google and Microsoft, and learn how to design, implement and manage databases using the cloud.
Learn how to apply cutting-edge tools and techniques to extract meaning from data sets ranging in size from gigabytes to petabytes.
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.
Acquire the skills to perform sophisticated data analysis and modeling, data mining and big data management using powerful statistical tools and R programming.
Master the different tools and features of Tableau, the powerful data visualization software. Learn how to build and present engaging data experiences that help guide business decisions.
Develop a broad understanding of the technical concepts of database management. Explore the Structured Query Language and build a basic relational database from scratch.