Applied Workshop on Managing and Interpreting Data

The Applied Workshop series, hosted by the Career Corner, provides a variety of training sessions that allow you to gain knowledge from highly qualified and experienced instructors, while also providing you with practical experience through real-world applications on each topic.

These sessions are a great opportunity for you to quickly acquire in-depth technical skills, and are exclusive to you as a University of Ottawa student. These extra-curricular workshops are offered at a reduced cost, making them an accessible way to invest in your future.

Exploring the power of data

Let the data do the talking: hone your data literacy skills in less than two days. Master the art of interpreting statistics and learn how to use them to guide your strategic decisions, even if you’re not a math whiz!

Places are limited, so register now!

February 24, 2026, from 5 p.m. to 9 p.m., and March 3, 2026, from 5 p.m. to 9 p.m. 

• $150 for both days

About the workshop

Together, we’ll learn how to produce and visualize basic statistics, and discuss best practices in data reporting. Using accessible and simple statistical software (e.g., StatsCloud), we’ll also explore the fundamentals of descriptive statistical methods (frequency distributions, measures of central tendency, measures of association, etc.) and briefly introduce inferential statistics (hypothesis testing, sampling distributions, analysis of variance, etc.) in an applied context.

The content and teaching style are geared to people who are new to using data.

About the Instructor

Alexa Keeshan is a doctoral candidate studying epidemiology at the University of Ottawa. In her graduate work, she has investigated the immune response to SARS-CoV-2 vaccination in the overall population and among key clinical groups, such as the immune compromised and obese. She is commencing a CTN+ postdoctoral fellowship aimed at characterizing the evolving transmission dynamics of HIV coinfections with hepatitis B, hepatitis C, and syphilis in Canada over the past three decade through a syndemic lens. Her research interests include longitudinal data analysis, Bayesian modelling, cohort studies, infectious diseases, STBBIs, Long COVID & ME/CFS.