Certificate in Data Science

UW Professional & Continuing Education

How long?

  • from 34 weeks
  • online
  • on demand

What are the topics?

UW Professional & Continuing Education


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Who should attend

Technical professionals with data and programming experience who want to learn how to apply advanced macine learning and predictive analytics techniques.

About the course

Acquire Valuable Insights From Data Sets

Businesses and organizations today have ready access to huge amounts of data, but they can be less adept at making sense of it. The role of the data scientist — turning data into meaningful, actionable insights — is increasingly crucial as companies strive to stay ahead of the competition.

In this three-course certificate program, you’ll discover how to apply cutting-edge tools and processes to extract meaning from data sets. Use statistics, machine learning and algorithms, and other techniques to analyze real-life data scenarios and help make informed business decisions. Take your data analytics abilities, and your career, to the next level.

What you’ll learn

  • How to build a data science pipeline
  • Data exploration and visualization with large data sets
  • Advanced statistical techniques and machine learning algorithims
  • How to apply data science to business problems, scientific research, marketing and other fields

Get hands-on experience

  • Use the Python programming language to manipulate and display data
  • Complete a capstone project to demonstrate your data science skills

Learning Formats

Online, self-paced

Enjoy the flexibility of learning at your own pace, with instructor support along the way. Courses are 100 percent online, with no class meetings or fixed deadlines — so you can start anytime. You have up to four months to complete each course and up to two years to complete the program.


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


Stephen Elston

Stephen F. Elston is managing director of Quantia Analytics, a data science consultancy, and a cofounder of FinAnalytica. He’s a big data geek, data scientist, instructor and O’Reilly author. He has more than two decades of experience in predictive analytics and machine learning with R, S/S-PLUS ...

Ernst Henle

Ernst Henle has a Ph.D. in biophysics from the University of California, Berkeley, where he used physics, chemistry and math to solve problems in medical research. As an experimental scientist at UC Berkeley and Lawrence Berkeley National Laboratory, he researched free radicals and aging. Henle's...

Mohamed Mneimneh

Mohamed Mneimneh has been with SAP for more than nine years, holding roles as research scientist, software engineer, product manager and principal solution adviser. Mneimneh helps companies digitally transform their business using machine learning and data science. He holds a Ph.D. in computer an...

Seth Mottaghinejad

Seth Mottaghinejad is a data scientist at Microsoft who uses Microsoft Azure Machine Learning to train clients and partners to build and deploy AI-infused solutions. Before joining Microsoft, Mottaghinejad was an analytics consultant at Revolution Analytics, where he helped clients build big data...

Matt Onsum

Matt Onsum is the head of bioinformatics, biomarkers and diagnostics at Seattle Genetics. His team is responsible for collecting and analyzing large datasets obtained from tumor samples with the goal of learning which patients will benefit most from a given cancer drug. Prior to Seattle Genetics,...

Nicholas McClure

Nicholas McClure is a senior data scientist for PayScale, where he works on statistics and natural language processing algorithms. Prior to joining PayScale, he worked on the Zestimate team at Zillow and as a gaming statistician and data scientist at Caesars Entertainment in Las Vegas. He’s worke...

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Certificate in Data Science at UW Professional & Continuing Education

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