Event details
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 28, 2026, from 9 a.m. to 1 p.m., and March 7, 2026, from 9 a.m. to 1 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
Kalonji Kalala is a doctoral candidate in computer science at the Faculty of Engineering of the University of Ottawa. He is interested in knowledge representation in artificial intelligence, with particular emphasis on the logical and theoretical foundations of intelligent contracts. His research focuses information technology used in legal settings, situational logic, deontic logic, intelligent contracts and automatic learning. He earned his master’s degree from uOttawa’s School of Electrical Engineering and Computer Science with a 2018 thesis entitled Trust and Reputation Algorithms for Hierarchically Structured Peer-to-Peer System. Kalala worked for four years as a tropical medicine medical data manager at the Institut de médecine tropicale d’Anvers (Belgium) and the Institute of Tropical Medicine at University of Kinshasa (Democratic Republic of the Congo), where he was responsible for data management, control, cleaning and digitization. He worked at the Montfort Hospital at the Institut du Savoir Montfort as an expert consultant in applications (data-related project management). His work included creating and managing medical databases, maintaining data infrastructures, and producing automatic and basic statistical reports.
Unlocking data with R: A hands-on introduction to data science
Workshop in English.