Online courses (enrolment ongoing)
- Data Visualization - An Introduction (Part 1 – Theory and Critique)
- Data Visualization - An Introduction (Part 2 – Practice with Tableau)
- R - An Introduction
- Working with Messy Data in OpenRefine
Descriptions of current and past workshops
Bits and Bytes presentation series
Presented by the Map & Data Library: https://mdl.library.utoronto.ca/bits-and-bytes
Getting started with Collaborative Archive & Data Research Environment (CADRE)
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.
Data Visualization - An Introduction (Part 1 – Theory and Critique)
Through a combination of lecture and activities, this workshop will use a data visualization workflow model to introduce participants to best practices and guidelines for designing effective visualizations and evaluating visualizations. There will then be an activity to apply best practices by working in small groups to critique visualizations. For more information on Data Visualization, including topics covered in the workshop, and services offered by the libraries, see our Data Visualization Guide. Online self-paced course (Self-enroll with your UTORID. If you don't have one, contact us)
Data Visualization - An Introduction (Part 2 – Practice with Tableau)
Through a combination of lecture and activities, this workshop will introduce participants to a common data visualization tool, Tableau Desktop. Participants will learn to create a variety of visualizations such as a line graph of profits over time by product category, a box plot of iris petal widths by species, and a stacked bar graph of word frequencies in Romeo and Juliet. For more information on Data Visualization, see our Data Visualization Guide. Online self-paced course (Self-enroll with your UTORID. If you don't have one, contact us)
Digital Humanities Tools: Digital Scholar Lab
This workshop introduces the Gale Digital Scholar Lab, a platform that allows users to discover and create collections of digitized texts from the Gale Historical Collections, run a variety of statistical analyses on them, and visualize the resulting data. Participants will learn how to use the Digital Scholar Lab and get an overview of text mining through a combination of a lecture and a hands-on demonstration. Note: No prior experience required, though attendees must have a Gmail address.
Excel: Beyond the Basics (for Windows)
Learn to create simple charts and graphs, simple calculations, and pivot tables using Microsoft Excel. This works hop also includes an introduction to macros.
Prerequisite: You must be comfortable using a computer and navigating desktop programs on your own. This workshop is best suited to students who are familiar with other Microsoft Office software such as Microsoft Word. Note: This workshop will be for Windows only.
Exploratory Data Analysis Using Python (Part 1)
This hands-on workshop in Python covers reading, describing, and filtering data, as well as conducting basic summary analyses, using the pandas package and Jupyter Notebooks. Workshop attendees do not need any experience with programming or Python/pandas, but must be familiar with tabular data and have a basic understanding of different types of data (quantitative/qualitative variables). We will be using software installed on computers in the MDL Lab and a sample data set that includes categorical, binary, text, and numerical data.
Exploratory Data Analysis Using Python (Part 2)
This is the second of two workshops on exploratory data analysis using Python, and you must have completed Exploratory Data Analysis Using Python (Part 1), or be familiar with reading, describing, filtering, and summarizing data using the pandas package.
This hands-on workshop in Python uses the pandas package and Jupyter Notebooks to group data, work with text formats, recode data, and create new variables. We will be using software installed on computers in the MDL Lab and a sample data set that includes categorical, binary, text, date, and numerical data.
Finding Canadian & International Microdata
This workshop will introduces you to individual-level social science survey data from Canadian and international sources. We will cover search strategies and techniques and there will be hands-on time for exploring and discovering data of interest to your own research. Workshop Files
Finding Canadian Statistics
This workshop will introduce you to sources of Canadian statistics, with a focus on tools for discovering Statistics Canada data, including Data Tables (formerly known as 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. Workshop Files
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 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 working knowledge of ArcMAP 10.x and ArcToolBox.
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. Workshop Files
Network Analysis and Visualization Using Gephi - An Introduction (Part 1)
A network is a way of specifying relationships among a collection of entities. Networks come up in a variety of situations; for example, they can describe relationships between characters in literary works, how authors cite each other in a particular discipline or how people interact on social media. Through a combination of lecture and activities, this 2-hour workshop will provide an introduction to network analysis and visualization using a free, open-source tool called Gephi. For our examples, we will be starting with smaller networks, looking at relationships between characters in the play Romeo and Juliet, and movie actors that work together on the same films. Workshop Files
After taking this workshop, participants will be able to:
- Recognize networks and situations that call for network visualization and analysis
- Use appropriate terms to describe networks
- Understand network data formats, and format data for use in Gephi
- Use Gephi to load, visualize, analyze, and publish network graphs
Network Analysis and Visualization Using Gephi - An Introduction (Part 2)
Through a combination of lecture and activities, and building upon part 1, this 2-hour workshop will introduce key network analysis metrics, their basic applications, and how to calculate them using Gephi. For our example, we will be working with larger networks concerning political twitter data for particular hashtags. Workshop Files
After taking this workshop, participants will be able to:
- Identify key network analysis metrics and their uses
- Calculate network statistics in Gephi
- Apply basic network metrics to a real world dataset
- Use Gephi to create dynamic graphs that change over time
NVivo 12 Basics (for Windows)
This hands-on workshop provides the foundation for using NVivo 12 (for Windows) and is designed for anyone who is analyzing qualitative research. You will gain key skills in NVivo 12:
- Create a research project | Use real research data to set up a project so it is clear and organized
- Import files into a project | Bring documents into a project and prepare data for coding
- Code data | Analyze data and learn how to attach notations/comments to your data
This workshop will be for Windows only. Participants using the Mac version are welcome to attend but the workshop will only cover the functions available for the Windows version, which are not all the same for the Mac version. This workshop is best suited for: Researchers, graduate students, post-graduate students, and research staff.
QGIS - An Introduction to Open Source Geographic Information Systems
Participants in this workshop will learn the basics manipulating, visualizing and analyzing geospatial datasets in open source desktop GIS software, QGIS. Topics covered will include: A tour of QGIS; Loading and Manipulating; shapefiles and other datasets; Symbology; Cartography; Spatial and Attribute Joins; Querying; Summarized Statistics; Subsetting; Clipping; Erasing and Buffering; Geocoding.
R - An Introduction
This is a hands-on workshop that introduces the R statistical programming language using RStudio. The topics covered are reading and exploring data, graphs, managing data etc. It is most suitable for new R users or users looking to review their knowledge in R. Offered as an online self-paced course (Self-enroll with your UTORID. If you don't have one, contact us) and also as a live online session - see the "upcoming events" listing above for schedule information.
R - Intermediate
PART 1. This workshop introduces users to statistical methods using R in RStudio. In particular, it covers t-tests, ANOVA, correlation and linear regression.
PART 2. This workshop introduces users to intermediate data processing tools using R in RStudio including reshaping data files, loops, ggplot2 and R Markdown.
Please note that users do not need to attend Intermediate R part 1 to attend part 2 because they cover different topics.
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.
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. Workshop Files
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.
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
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. Online self-paced course (Self-enroll with your UTORID. If you don't have one, contact us). Workshop Files