UW Professional & Continuing Education

Techniques for Decision Making - Certificate in Data Analytics

Available dates

On demand
USD 3747
Apr 2—Nov 12, 2020
30 daysModules info
Seattle, Washington, United States
USD 3747
USD 124 per day


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About the course

Translate Data Into Actionable Business Insights

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 wrangling, 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.


  • Data analysis and statistical techniques for knowledge discovery
  • Visual discovery and interpretation methods for large data sets
  • Information design, storytelling and presentation using visualization, pivot tables, graphs, charts, infographics and conditional data table formatting
  • Making predictions using decision trees, regression analysis, and supervised and unsupervised learning models
  • R and SQL programming practices


  • Use industry-standard software such as Excel, SQL Server, Azure Machine Learning Studio, RStudio and Power BI tools
  • Utilize machine learning models and data mining techniques to create basic prediction, recommendation and classification systems
  • Develop and present a Power BI dashboard that allows users to leverage data in business decision making



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.


Start and finish your program with the same group of students, with frequent opportunities to interact with your instructors and classmates along the way. Courses are 100 percent online, with set due dates for assignments but no class meetings.


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

Professionals who want to learn to work with data to make strategic decisions. Those with programming skills who already have experience working with data should consider taking the more advanced Certificate in Data Science.

Trust the experts

Dror Berel

Enthusiastic Statistician with expertise of implementing machine learning (resampling, ensemble, tuning, benchmarking) tools for high-dimensional multiplex data structure. Leveraging high level scope tools for analysis of convoluted nested datasets, including multi-layer fusion data, n-table dim...


Sarah DeAtley

Analytics leader with a focus on digital customer experience by combining advanced analytics with user experience insights. 10+ years of experience in behavioral analysis, statistical analysis, usability, data driven design, and enterprise-level reporting. Highly skilled in enterprise analysis ...


Reid Havens

Reid is the Founder of Havens Consulting Inc. and Microsoft MVP. He has a formal background in technology and organizational management, having obtained separate Master's Degrees in Organizational Development & Business Analytics. Reid has experience working with many of the Fortune 50, 100, ...


Jim Kelley

Jim Kelley’s professional career spans more than 25 years and includes all aspects of financial planning, reporting and data analyses. Over his career he’s gone from analyst roles in the banking and finance industry to the role of manager of market risk in the oil and gas industry to director of ...


Puneet Mohan Sangal

Puneet Mohan Sangal has more than 20 years of experience and has led global teams of product management, machine learning, data science, software engineering and solutions architecture. He has worked in the areas of digital advertising, search, video performance/latency, fraud, risk trust and saf...


Course reviews

UW Certificate in Data Analytics: Techniques for Decision Making