For the safety of our community, UWPCE programs will be taught remotely for the 2020-21 academic year.
Design and Build Big Data Systems
Next start date:
April 2021
In today’s job market, big data is hot — and so are data engineers, the professionals who have the knowledge and skills to tame it. Organizations have a growing need for specialists who know how to design and build platforms that can handle the gigantic amount of data available today.
In this three-course certificate program, we’ll explore distributed computing and the practical tools used to store and process data before it can be analyzed. You’ll work with typical data stacks and gain experience with the kinds of data flow situations commonly used to inform key business decisions. Complete this program and engineer your career in the world of big data technologies.
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Professionals with programming and system administration experience who are looking to expand their careers into big data.
See Requirements
To apply, you must have:
If English is not your native language, you should have at least intermediate English skills to enroll. To learn more, see English Language Proficiency Requirements – Noncredit Programs.
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 earn the certificate by adhering to the program's attendance policy and successfully completing all required courses. For more information, see Earning the Certificate.
Instructor David Patton of the Certificate in Big Data Technologies discusses the program and the high demand for professionals with these kinds of skills and knowledge.
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.
Quarter 1
Introduction to Data Engineering
Quarter 2
Building the Data Pipeline
Quarter 3
Data Engineering Practicum
Join an upcoming information session to learn more about the program, curriculum and instructors.
Thu, Feb 25 at 12 p.m. – Online
Spencer McGhin, a graduate of the Certificates in Python Programming and Big Data Technologies, explains how the certificate programs gave him the professional boost he needed in an emerging field.
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 »
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Data Integration and Predictive Analytics Fellow, Foster America
Software Engineer, Pivotal
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.
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.
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 engineers are the "high-tech plumbers" of the data world. They design, build and maintain the invisible infrastructure that gets people the data they need, when they need it.
Whether you're interested in data analytics, machine learning or another data specialization, we have programs for you. Compare our data-related offerings.
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Learn how to apply cutting-edge tools and techniques to extract meaning and value from complex data.
Acquire the skills to perform sophisticated data analysis and modeling, data mining and big data management using powerful statistical tools and R programming.
Study the mathematical concepts behind machine learning and deep learning. Learn to apply and model these techniques to address business needs and real-world challenges.
Learn how to build and manage the databases and infrastructure for your organization’s business intelligence operations.
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