Virtual Analytics Innovation Lab

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The Center for Business Analytics (CBA)’s core mission is inspiring innovation through the strategic use of data, analytics, design and service thinking. The Virtual Analytics Innovation Lab serves to this mission by providing a comprehensive technology ecosystem to students, staff and faculty for addressing today's and tomorrow's problems by means of data analytics and constant innovation. This ecosystem includes collection of software, processes, tools and templates which enable students and researchers to analyze, design and develop prototype/proof of concept digital solutions in the areas of data analytics, data science, big data and cloud computing. Users have flexible access to tools and training for collaboration, communication and documentation systems. ​​

A technology ecosystem to support our unique applied learning model and real-world projects

In our programs including Master of Science in Business Analytics (MSBA), students go through learning and practicing phases iteratively throughout their education journey. Practicing newly gained knowledge and skills through applied projects reinforces the learning experience constantly, while producing many opportunities to gain soft skills such as teamwork, communication, and problem solving. Below figure highlights some of the technology tools and platforms facilitating digital transformation of education.

* Please note that, since our technology platforms are constantly evolving, the availability of the technology resources are subject to change.

Canvas: Our Canvas Learning Management System serves as the central hub for students and faculty. ​In Canvas student can find links to all associated systems and resources, access many hands-on tutorials for different technology tools and get information, updates and notifications regarding the program. ​

Cloud Services: We do not require students to use a specific cloud service. Students benefit from Google Cloud and Azure Licenses available for students to explore cloud services and working environment​s.

CBA Virtual Analytics Lab: Through this lab, each MSBA student has access to a pre-configured Data Science Virtual Machine. Data Science Virtual Machines contain popular tools that are commonly used for data analytics, machine learning and AI training.

SQL Databases: Students have access to SQL databases to store their data securely in the cloud.

Azure Cognitive Services and Machine Learning Studio: Students benefit from cognitive services frequently such as text analytics and QnA maker. ML Studio allows them to build, test, and deploy predictive analytics solutions on their data.

CBA Power BI Report Server: CBA Power BI Report Server is a platform where students can share interactive Power BI Reports and more with their team. They can also write comments on the shared reports and communicate with their team through the web portal of  the Power BI Report Server.

SharePoint and Microsoft Teams: Collaboration and Project/Task Management tools play an essential role in the success of Applied Projects. Students use these tools to enhance teamwork while following the Agile methodologies for their evolving project requirements and solutions. SharePoint is a web-based productivity, collaboration, and communication platform. Microsoft Teams is part of UW Office 365 and provides remote collaboration, communication, and file storage platform, including persistent direct messaging and group chat functionality, as well as virtual video and voice calling.

Video Conferencing Systems: Zoom allows student to collaborate over the web with video, audio, and screen sharing​. 

Presentation/Media Tools: Students create their portfolio and demo to showcase their work using the media tools.  ​

CBA Digital Badge Program: The digital badge program allows for web-enabled evidence of learning, participation, and completion of skills or achievements. Students are awarded digital badges when they participate in extracurricular activities. Learn more at

Desk Pro Ticket System: This system allows support staff to share the management of service requests, reported incidents, and support knowledge.

CBA Technology Team's Mission


Start your journey in Data Analytics

  • Beginner R1
  • Beginner R2
  • Intermediate R3
  • Intermediate R4
  • Beginner Python 1
  • Beginner Python 2
  • Beginner Math, Probability and Statistics 1
  • Beginner Math, Probability and Statistics 2
  • Beginner Business Foundations
  • Beginner Information Technology/Systems
  • Beginner Data, Database Management and Big Data
  • Beginner Data Modeling
  • Beginner SQL
  • Beginner Excel for Data Analytics 1
  • Beginner Agile Project Management 1
  • Beginner Agile Project Management 2
  • Beginner Data Visualization using PowerBI
  • Beginner AI & Cognitive Computing 1

Learn more about Foundations for Data Analytics