Transform Raw Data Into Valuable Business Assets
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Business intelligence is a discipline that relies on ready access to a huge volume of stored data, sometimes referred to as a data warehouse. In this three-course certificate program, you’ll develop the conceptual knowledge and skills to create a midsize data warehouse. You’ll explore the entire life cycle of development, from defining business requirements to reporting and analysis. We’ll cover different aspects of data modeling and database design, and take a deep dive into the ETL (extract, transform and load) process. By the end of the program you’ll have completed your data warehouse and expanded your professional portfolio.
Database developers and administrators. Those who work on the business analysis side of BI should consider taking our Certificate in Business Intelligence: Techniques for Decision Making.
If you're not a native English speaker, you’ll need to have basic English language skills to participate in this program. 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 certificate program does not enable students to obtain or maintain F-1 visa status. For more information, see Admission Requirements for International Students.
You must bring a laptop to each class session.
You earn the certificate by regularly attending class and successfully completing all required courses. For more information, see Completing Your Program.
Two instructors from our business intelligence certificate programs explain how students can use the knowledge and skills they learn to advance their careers.
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.
Business Intelligence Concepts, Planning & Implementation
Planning, Designing & Implementing ETL Solutions
Implementing OLAP Cubes & Reporting Solutions
Certificate in Business Intelligence: Building the Data Warehouse
Approved by the UW Department of Computer Science & Engineering.
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.
Saurabh Agrawal, BIDW & Analytics Consultant, Plaster Group Consulting
Emily Bender, Professor, Linguistics, UW
Rovy Branon, Vice Provost, University of Washington Continuum College
Ilya Buzytsky, Managing Director, Big Data Solutions, Society Consulting
Anja Canfield-Budde, Senior Manager, Decision Support Services, University of Washington
Jeff Cole, Principal Consultant, Ciber
Justin Emerick, Senior Business Intelligence Product Manager, IMS Health
Hilary Feier, Senior Director, System Integrators at Tableau Software
Hisham Gaber, Principal Manager, Microsoft Corporation
Patricia A. Gilson, Principal, PAG Systems
Karl Haberl, Practice Director, Business Intelligence, Logic20/20
Rick Heiges, Data Platform MVP and Principal Solutions Architect at DB Best Technologies, LLC
Jared Hennessy, Director of Development, Piraeus Consulting
Alvin Hui, Business Intelligence Data Analyst, Xtreme Consulting Group
Steven Humphrey, Principal, Parnassus Analytics
Noah Iliinsky, Senior UX Architect, Amazon Web Services
Santosh Iyer, Head of Analytics, IMDb.com
Courtney Jones-Vanderleest, Assistant Director of Academic Programs, UW Professional & Continuing Education
David Jorgensen, Director of Software Development - Core Transactional Services (CTS)
Lotus Kam, Business Intelligence Strategist, Amazon.com
Dru Metz, Senior Market Strategist, Kaiser Permanente
Emre Motan, Data Scientist, Facebook
Jandee Richards, BI and Data Architect, DB Best Technologies, LLC
Debbie Shapiro, Senior Consultant, Plaster Group
Cristobal Sierra, Senior Manager, Business Intelligence, Expedia
Jim Vallandingham, Data Visualization and Open Web Engineer at Bocoup
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
Attend class in person at one of our convenient locations. You’ll engage face to face with your classmates and instructors as part of a highly interactive curriculum. An online learning management system may be required to access some course materials and assignments.
Courses are streamed online in real time from the classroom. You interact with your instructors and fellow students via chat, using Adobe Connect web conferencing software. Assignments and other course materials are delivered through Canvas, a web-based learning management system that also serves as a communications hub.For added flexibility, each quarter you may view recordings of up to 40 percent of your class sessions instead of attending in real time. You also can attend the classroom sessions in person if space is available.
Our special blended programs combine the convenience of online study with the vibrancy of in-person classes for a unique learning experience.
Not available for this program
Senior Consultant and Technical Instructor
Study distributed computing and the tools used to store and process data. Gain experience with the kinds of data flow situations commonly used to inform key business decisions.
Learn how to gather, store and interpret large-scale data in meaningful ways that enable businesses and organizations to make effective, data-driven decisions.
Discover how to apply cutting-edge tools and techniques to extract meaning from data sets ranging in size from gigabytes to petabytes.
Learn how to effectively capture, store, retrieve and analyze information. Gain experience working in distributed, mainframe, client-server and desktop environments.
Explore the fundamentals of database planning, design, deployment and management, and learn how to write advanced SQL queries for reporting and data mining.