Data Visualization and Dashboards


Prior to running analyses, data exploration is crucial to gain an understanding of the dataset and what it contains. Increasingly sophisticated visualization strategies can play an important role at this stage. Visualization is also used at the end of the data analysis process to communicate data insights to an audience, often in the form of a dashboard. In this course, participants will learn tool-agnostic fundamental strategies for visualizing and communicating data (storytelling) and be introduced to the grammar of graphics and the basics of dashboarding.

Following the course, the participants have the option of working on a guided project, getting feedback from the instructor.


Topic Relevance

The need for basic skills in data visualization, storytelling with data, and building dashboards is common across disciplines and an integral part of data sciences competencies. These basic skills will be of use to data scientists across all disciplines.


Learning Outcomes

  • Develop strategies to explore a dataset using visual means
  • Discern which strategy and design to use to best represent the results from their data analysis
  • Create multivariate visualizations using ggplot2
  • Design simple conceptual dashboards
  • Learn how they can use storytelling notions to share their analysis insights



  • Having been exposed to programming frameworks would be beneficial to participants but is not necessary. Participants doing a guided project must be familiar with R and the tidyverse.



12 hours



  • $1095 (plus tax)


Additional Information

  • Familiarity with the concepts introduced in the course Data Science Essentials is strongly recommended, but is not mandatory.
  • 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.