Translate Data Into Actionable Business Insights
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Note: This program was previously titled Certificate in Business Intelligence: Techniques for Decision Making.
Nearly every business and organization today is extremely dependent on data. Modern data analytics combines powerful software tools and statistical techniques to produce insights that can improve results in every field and organizational department. Professionals who are adept with these tools and have the latest data analysis skills are highly valuable and in demand.
In this three-course certificate program, you’ll learn how to make — and defend — critical business decisions by collecting, organizing, analyzing, visualizing and interpreting large-scale data sets in meaningful ways. We’ll explore innovative approaches for generating insights and predictions that can boost sales, enhance operational efficiencies and drive qualitative improvements in your products and services. Improve your organization’s data-driven decision making and escalate your own career trajectory.
▸ Related Article: Hot Jobs: Data Analyst
Professionals who work closely with data to make strategic decisions. For those seeking a more technical skill set focused on developing and administering data warehouses, consider txaking our Certificate in Business Intelligence: Building the Data Warehouse. For those who already have significant experience in data analytics and can program in R or Python, consider taking the more advanced Certificate in Data Science.
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 and the internet. We recommend a high-speed internet connection.
You earn the certificate by regularly attending class and successfully completing all required courses. For more information, see Completing Your Program.
Instructors from the business intelligence and data analytics 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.
Data Analysis Essentials
Data Visualization Essentials
Data Mining & Predictive Analytics Essentials
Certificate in data analytics: Techniques for Decision Making
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, University of Washington
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, SQL Server MVP and Principal Solutions Architect, 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, Expedia
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
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 offered 100 percent online. The flexible online format allows you to access course content wherever you are, on your own schedule. You simply need to complete assignments by their due dates. Lessons, assignments and other course materials are delivered through a Web-based learning management system, such as Canvas or Moodle, which also serves as a hub for communicating with your instructors and classmates.
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
AVP and Senior Director, Research and Innovation, Safeco Insurance
Senior Consultant to Microsoft, Matisia
Senior Data Scientist, Zymergen
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.
Like a good detective, data analysts pull together and examine data, looking to reveal the story it has to tell. Find out about this hot job and how to get started in the field.
Discover how to analyze an organizational problem and develop business requirements and targeted solutions to address the challenge.
Examine different aspects of data modeling and database design, and develop the conceptual knowledge and skills to create a midsize data warehouse.
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.
Examine ways to organize and derive meaning from vast amounts of data by using visual presentation tools and techniques. Develop your ability to make data make sense for everyone.
Learn how to effectively capture, store, retrieve and analyze information. Gain experience working in distributed, mainframe, client-server and desktop environments.
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.
Develop the high-level expertise needed to fulfill requirements for data reporting, performance improvement and related health care measurements and analytics.
See how Lean Six Sigma management techniques can be used to streamline processes, improve management and increase operational efficiency, and get Lean Six Sigma Green Belt certified.
Explore the fundamentals of database planning, design, deployment and management, and learn how to write advanced SQL queries for reporting and data mining.
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.