Data Science ARES: Allison Horst – Feb. 7, 2022
The Data Science Applied Research and Education Seminar (ARES) is a speaker series that showcases opportunities in all realms of society for Data Science. Speakers are Data Scientists who span […]
The Data Science Applied Research and Education Seminar (ARES) is a speaker series that showcases opportunities in all realms of society for Data Science. Speakers are Data Scientists who span […]
In this hands-on workshop, attendees will learn how to import and explore data, create graphs, create new variables and manage data. It is suitable for new Stata users and Stata […]
Part 1: Structured Approach to Searching the Medical Literature for Knowledge Syntheses Audience: University of Toronto graduate students and faculty engaged in health science research. Date: Monday, February 7th 2022 […]
In this workshop, attendees will learn the basics of loading and manipulating data, creating a map, and basic spatial analysis.
This 90-minute session covers a wide range of issues pertaining to using images (charts, maps, photographs, statistics) beyond teaching and study. The session will introduce required image and file specifications, […]
Part 2: Beyond Medline: Translating Search Strategies Audience: University of Toronto graduate students and faculty engaged in health science research. Date: Tuesday, February 8th 2022 Time: 2:00pm - 4:00pm (+ […]
The Joint EMHSeed and XSeed is an interdivisional research funding program designed to promote multi-disciplinary research and catalyze innovative partnerships between a coPI from the Faculty of Applied Science and […]
Featured Guests: • Ben Poynton, Accessibility for Ontarians with Disabilities Act (AODA) Officer • Chris Sabatinos, Web Accessibility Specialist Facilitating accessible collaborative engagements in a virtual environment requires different skills […]
This hands-on workshop introduces the R statistical programming language in RStudio. Participants can follow along the demonstration on their computer. The topics covered are importing and exploring data, creating graphs, […]
Data visualization gives us a better understanding of our data and helps us communicate that to others. It has the potential to generate insights, communicate findings, and illustrate evidence. Conversely, […]