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 […]
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, […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
