Introduction to Computational BioStatistics with R (Fall 2020) — lecture #9

In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into […]

Identifiers and Impact: Using ORCiD and Your Research Impact

Researcher identifiers are a simple and convenient way to ensure your work is searchable, properly cited, and can help you analyse your research impact. In this workshop, learn about what researcher identifiers are, the benefits of having one, and how having one can impact your current and future research. Attendees will also be guided through […]

NVivo: Doing Qualitative Research in a Digital World

This webinar is part of the Fall Qualitative Research & Innovation Webinar Series presented by NVivo and SAGE Publications. In this webinar, Dr. Trena Paulus and Dr. Jessica Lester, co-authors of the forthcoming Doing Qualitative Research in a Digital World, will guide participants in a critical appraisal of the role that digital tools and spaces […]

Library Research Skills – self-paced (UTSG & UTSC)

This series of six self-paced modules created by librarians at the St. George and Scarborough campuses will introduce students to foundational library skills that will help in many university research assignments. They can be completed in any order. Topics include: Module 1: Introduction to U of T Libraries - Learn the basics about the libraries […]

Finding, Using and Publishing Images in Advanced Research, Teaching and Graduate Studies

This session introduces you to advanced tools for finding, using and building ‘sustainable’ image collections for teaching, research and publishing. How do you design an image collection to store those valuable ideas and easily retrieve them in the future? How do you add metadata to image files for effective computer searches? What type of image […]

Introduction to Computational BioStatistics with R (Fall 2020) — lecture #10

In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into […]

Digital Humanities Tools: The Digital Scholar Lab – Oct. 8, 2020

This talk 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 get an overview of text mining and how to use the Digital Scholar Lab, […]

Connect + Learn (EASI): Introduction to Microsoft Stream, Oct. 8, 2020, 12pm

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Microsoft Stream is a video service where people in your organization can upload, view, and share videos securely. You can share recordings of classes, meetings, presentations, training sessions, or other videos that aid your team’s collaboration. Join Microsoft Teams Meeting +16477941609 (Toll) Conference ID: 816 964 518# For more information see events list at: https://easi.its.utoronto.ca/connect-learn/

Industry research for startups

Whether you are on the edge of a new industry to looking to enter an established sector, you need to quantify and understand the industry players, segments, and size. This workshop introduces you to existing sources of industry information such as market research reports and trade journals, as well as provides strategies to help you […]

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