Summer School in Data Science and Data Visualization


In October 2012, Harvard Business Review published an article predicting that data scientists would be the “rock stars of the 21st century”. The same article declared data scientists to be a” hybrid of data hacker, analyst, communicator, and trusted adviser” – a far cry from the days when data analysts played second fiddle to financial experts and marketing gurus! Acceptance of data-driven approaches has also spread to the public sector in recent years, and the need for various levels of government to keep up has been made clear.

This Summer School provides an overview of data science and how it applies to the workplace. In this course, participants will explore twenty-four general topics in data science. The various topics will be explored using presentations, case studies and applications.

Free online textbooks will be available. Participants may bring their own laptops.


Learning Outcomes

  • Recognize opportunities to apply data science methods in your workplace
  • Identify the challenges inherent to working with data
  • Determine the next steps required to round out your data competencies
  • Act as data translators in your organization (go-betweens for data scientists/analysts and stakeholders)



  • This course is addressed to individuals who can be described as "data-adjacent", meaning those who are not doing the analysis itself, but rather are surrounded by people who do, or would like to know more on the subject matter without getting into programming.
  • Enrollment is open to the public. No programming experience is necessary, and no knowledge of statistics is assumed.



24 hours



  • $1500 (plus tax)


Additional Information

  • Participants must be comfortable with the concepts introduced in a Probability and Statistics university-level course.
  • Participants are required to have a laptop/PC on which the current version of R/RStudio is installed (for which they may require administrative authorisation to install packages).


Featured Instructors

Dr. Boily is a professor in the Mathematics Department and has offered upwards of 200+ training days in data science, analysis, visualization, and machine learning to 60+ cohorts of professionals in the Ottawa region since 2015.