Part 3: Going Grey and Supplementary Search Techniques Audience: University of Toronto graduate students and faculty engaged in health science research. Date: Wednesday, March 1st, 2023 Time: 1:00pm - 4:00pm (+ mandatory pre-work module, approximately 60 minutes) Location: Robarts 4th floor e-Classroom By the end of this 3-part workshop series, participants will: Understand the […]
In-Person Location: Robarts Library, 5th Floor, Room 5-053 (directly across from the elevator). Map & Data Library Computer Lab Excel is a popular spreadsheet software that allows you to organize, modify and analyse your data. In this 2 hour hands-on workshop, you will gain a deeper understanding of the uses and types of data that […]
This session introduces tools, techniques and best practices of 3D printing, including the basics of 3D printing, an introduction to the MADLab space, and the models of 3D printers available for use. Instructors will demonstrate how to safely use the service and the machines from start to finish, as well as how to find and […]
This workshop introduces the basics of text analysis–including creating a textual collection, data cleaning and preparation, and analytical methods–using the Gale Digital Scholar Lab. No prior experience with text analysis is required and this workshop does not require coding. This workshop is a suitable starting point for using other text analysis tools available at the […]
In this workshop, participants will build on the skills learned in part I and learn some more advanced geospatial data manipulation and analysis.
Preparing a business pitch and developing a business idea requires you to have data on your target market. You need data to inform decisions on your business plan, data on your competitors, and if you want to be innovative in your industry you need data to tell you a story on performance and opportunity. Data […]
In this workshop, participants will learn about various types of spatial data (vector, raster and tabular), the basic QGIS tools required to load, manipulate and visualize spatial data, and to export results.
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
Qualitative research involves working with qualitative data sources, such as interview transcripts, reports, photos, and diaries. NVivo is a data management and analysis tool that helps work with these types of materials. This 2.5-hr workshop will provide an introduction to using NVivo 12 for Windows. Through a combination of lecture and hands-on activities, participants will […]
