Comprehensive course analysis
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
Organizations of all kinds accumulate huge amounts of data, but they often struggle to make 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
- What the data science process looks like for business, scientific research and other fields
- How to build a data science pipeline
- Data exploration and visualization
- Statistical techniques and machine learning algorithms
Get hands-on experience
- Use the Python programming language to manipulate and display data
- Complete a capstone project to demonstrate your data science skills
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 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 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 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 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...
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...
Shawn Chai is a senior data scientist at Microsoft, where he works on enterprise-scale A/B experimentation and distributed machine learning for Windows and Azure products. Before joining Microsoft, he held a role as a statistician at Fred Hutchinson Cancer Research Center, where his work focused ...
Wee-Hyong Tok has decades of database systems experience, spanning academia and industry, including deep experience driving and shipping products and services that span distributed engineering teams from Asia and the United States. Before joining Microsoft, Tok worked on in-database analytics, ...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.