Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with UW Professional & Continuing Education.
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.
CLASSROOM
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
Who should attend
Technical professionals with data and programming experience who want to learn how to apply advanced macine learning and predictive analytics techniques.
Summer Elasady is a bioinformatic scientist who’s been working in the software industry for more than a decade. She sold her first database-driven software company at the age of 26 and was then hired to manage the fraud detection team for GoDaddy.com. She’s spent the past three years using Python...
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...
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,...
Joseph HE Jun is the Head of the China Practice and a Partner in both the Corporate/Mergers & Acquisitions and the Capital Markets Practices.
His main practice areas are corporate finance, equity capital markets, foreign investment, mergers and acquisitions and property development in the Pe...
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...
Crystal Humphries is a data scientist who has spent the past eight years dissecting large data sets using a range of tools including Perl, Python, R, Hadoop and SQL. She obtained her Ph.D. in human genomics with a focus on Alzheimer's Disease while spearheading a self-teaching group in R programm...