Workshop schedule

Workshops

Current Workshops

(Click here to view a brief title list in chronological order)

Data Visualization - An Introduction

Through a combination of lecture and activities, this three-hour workshop will use a data visualization workflow model to introduce students to best practices and guidelines for designing effective visualizations and evaluating visualizations. For the final part of the workshop, students will get a chance to work with a common data visualization tool, Tableau Desktop, creating visualizations such as a line graph of average temperature by month, a treemap of population by world regions, and a stacked bar graph of word frequencies in Romeo and Juliet. For more information on Data Visualization, including topics covered in the workshop, and services offered by the libraries, see our Data Visualization Guide.

Infographics - An Introduction

Through a combination of lecture and activities, this three-hour workshop will introduce participants to best practices and guidelines for designing effective infographics and evaluating them. For the final part of the workshop, participants will get a chance to go through the entire design process of an infographic, from determining the story, sketching the layout, choosing appropriate data visualizations, selecting fonts and colours, and finally using a common online infographic creation tool called Piktochart, to implement the design and create a finished infographic. For more information on Data Visualization, including topics covered in the workshop, and services offered by the libraries, see our Data Visualization Guide.

R - An Introduction

This is a hands-on workshop that introduces the R statistical programming language using RStudio. The topics covered are reading, exploring, manipulating data and running some statistical tests. It is most suitable for new R users or users looking to review their knowledge in R.

SPSS - An Introduction

This workshop provides an introduction to using SPSS to perform common data management and basic statistical analysis tasks. Participants will work through hands-on exercises in SPSS, and will learn to import spreadsheets, manage and edit data, create charts and other visualizations, and run descriptive statistical tests. Note: this workshop will not cover advanced statistical concepts, but participants will be provided with suggested resources for additional skills development.

Stata - An Introduction

In this hands-on workshop, students will learn how to read, explore, manipulate and combine data in Stata as well as run some common statistical analyses. It is suitable for new Stata users and Stata users looking to develop their familiarity with common Stata syntax.

  • February 27, 2019, 10am-noon - Register

Working with Messy Data in OpenRefine

This workshop will provide an introduction to OpenRefine, a powerful open source tool for exploring, cleaning and manipulating “messy” data. Through hands-on activities, using a variety of datasets, participants will learn how to explore and identify patterns in data, normalize data, transform and reshape data, and more.

Past Workshops

ArcGIS Desktop 10.5

In this workshop, attendees will learn the basics of Geographic Information Systems (GIS). Hands-on activities will cover loading, manipulating, and visualizing geospatial datasets using Esri's ArcGIS software, working towards creating digital maps.

ArcGIS Online - An Introduction (http://utoronto.maps.arcgis.com/)

Participants will learn the basics of this online mapping and GIS platform.  Topics covered will include: Geocoding, Symbology, Scale Dependencies, Map Labeling, Popup Management, etc.

ArcGIS Pro - An Introduction (https://pro.arcgis.com/en/pro-app/)

Participants in this workshop will learn the basics manipulating, visualizing and analyzing geospatial datasets in Esri's newest desktop software.  Topics covered will include:  A tour of ArcGIS Pro; Loading and Manipulating; shapefiles and geodatabases; Symbology; Cartography; Spatial and Attribute Joins; Querying; Summarized Statistics; Subsetting; Clipping; Erasing and Buffering; Geocoding. Participants will also work through solving a problem using GIS analysis tools.

Excel: Beyond the Basics

Learn to create simple charts and graphs, simple calculations, and pivot tables using Microsoft Excel. This works hop also includes an introduction to macros.
Required: Very basic knowledge of Microsoft Excel. Basic keyboarding and mouse skills.

Finding Canadian & International Microdata

This workshop will introduces you to sources of individual-level social science data. It will cover both Canadian and international sources. It will cover search strategies and techniques and allow hands-on time for exploring and discovering data of interest to your own research

Finding Canadian Statistics

This workshop will introduce you to sources of Canadian statistics, with a focus on tools for discovering Statistics Canada data, including the Data Tables that replaced CANSIM, the CHASS Census Analyser, and the Map & Data Library catalogue. It will cover search strategies and techniques and allow hands-on time for exploring and discovering data of interest to your own research.

Geoprocessing Lidar Data with ArcGIS Desktop

This workshop will cover using ArcGIS to process Lidar (Light Detection and Ranging) data. Attendees will learn to reclassify classified data, extract building heights, generate shorelines, create a tree canopy, and create digital terrain models and digital surface models. 

Note: A good understanding of GIS principles and a intermediate-to-advanced working knowledge of ArcGIS 10.x is expected.

Getting Started with Python in ArcGIS Desktop

This workshop introduces the student to Python programming using the arcpy site package for ArcGIS Desktop. Learn how to use ArcToolBox geoprocessing tools to clip and project data. Use a for loop and if statement for geoprocessing. Run standalone python programs.

NOTE: Attendees must have a good working knowledge of ArcMAP and ArcToolBox as well as experience with the Windows operating system.

NVivo - An Introduction

This session provides an overview of the use of NVivo for qualitative data analysis. Participants will gain a sense of the various uses of NVivo in the research process and the types of data sources that the software accommodates, as well as the basics of coding data.

SimplyAnalytics

SimplyAnalytics is a web-based mapping, analytics, and data visualization application for creating maps, charts and report using demographic, business, health and marketing data. This session will show you how to create custom maps for projects and presentations, as well as generate reports and download data to support your research.

Spatial Analytics: An Introduction to Insights for ArcGIS

In this workshop, attendees will be given an overview of the new tools available from Esri that will enable them to answer questions they didn't know to ask from their data, quickly delivering powerful results via Insights for ArcGIS. Insights for ArcGIS is Esri’s new web-based, data analytics workbench for exploring and visualizing spatial and non-spatial data. Through a combination of lecture and activities, attendees will also gain hands-on experience via a worked example containing freely available data from open sources.

Story Maps (https://storymaps.arcgis.com/en/)

This workshop is an introduction to Esri's Story Maps platform.  Participants will learn to build three popular Story Map types, Tour, Cascade and Journal. Participants will load original spatial data along with Social Media data to create interactive Story Maps.  Participants will also learn the basics of using ArcGIS Online.

Urban Modelling with CityEngine

Are you interested in learning more about geodesign, 3D modelling, rule-based planning and interactive 3D urban analysis?

This hands-on workshop will guide you through the basics of setting up a CityEngine project, modelling out streets and buildings, and publishing your content online.

The session will cover:

•             Introduction to CityEngine interface and application

•             Importing spatial and non-spatial data

•             Visualizing urban forms through off-the-shelf rules

•             Performing real-time shadow and view analyses