Part-time, online Visual Analytics Certificate

Learn to make big data meaningful

SFU’s part-time Visual Analytics Certificate, developed in partnership with the Vancouver Institute for Visual Analytics, provides a practical foundation in data visualization tools and techniques. Drawing from expertise in computer science, information visualization, cognitive and social sciences, and information and graphic design, the program helps you explore and analyze big data with objectivity and agility, and propose effective business solutions.

Effect data-driven solutions

This flexible, online program is designed for a wide spectrum of professionals in the public and private sectors. It’s ideal for anyone whose work involves conveying complex data to an audience, or making informed decisions based on data, including:  

  • Data or business analysts
  • Statisticians
  • Technical communicators
  • Graphic designers
  • Informatics specialists
  • Business consultants
  • Managers and directors 

Gain in-demand business intelligence skills

With growing volumes of digital data now available to organizations, demand is rising for specialists in the emerging field of visual analytics. In this program you'll not only gain a solid grounding in theory but also apply your learning through hands-on labs using the VARI Lab virtual experiential laboratory.

You'll learn how to:

Apply visual analytics knowledge

  • Identify and describe the disciplines that form the foundation of visual analytics
  • Determine the relevant data visualization tools and techniques to apply to a 
business case or problem
  • Analyze data more effectively by using interaction, visualization and automation tools and 
techniques
  • Identify opportunities for advanced analysis by using data mining and statistical modelling 


Establish best practices

  • Establish a workflow and best practices for deploying analytics within an organization, from 
collecting data to communicating the resulting analysis
  • Recognize common analytical errors using fundamental statistical, analytical and 
reasoning concepts and best practices
  • Select the appropriate tools and techniques to best tackle specific data, problems and goals
  • Determine the relevant data guidelines governing data custody, confidentiality, 
security, privacy and ethics

Work with organizations

  • Communicate information and analysis more effectively throughout an organization using 
fundamental data visualization and design concepts
  • Assess the challenges of integrating visual analytics within an organization; establish a 
common understanding of fundamental concepts by all analytics stakeholders