• Learning R: Importing Data

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    Join us on an exciting journey into the world of data with our introductory workshops! This session will address importing Excel and comma separated value files into R for analysis.

    Free
  • Learning R: Exploring Data

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    Join us on an exciting journey into the world of data with our introductory workshops! This session will introduce participants to common tasks of initial data exploration.

    Free
  • Learning R: Subsetting and Filtering Data

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    Explore the variety of ways that data can be filtered and subset in R. Working with data frames and vectors, data frames, and lists, participants will learn the nuances of extracting portions of a larger data set for analysis.

    Free
  • Learning R: Iterating Over Data

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This session will revisit the vector underpinnings of R, introduce the apply() family of functions for iterating, or looping, over objects, and introduce for loops for those instances when no pre-existing solution exists.

    Free
  • Learning R: Conditions

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This session will introduce conditionals in R, addressing those times when, for example, if something is true x needs to happen, otherwise y needs to happen. Participants will be introduced to pre-existing if / else constructs, as well as how to construct conditional statements from scratch.

    Free
  • Writing the Literature Review

    Thesis preparation sessions
    Online virtual event

    Unlock the secrets of crafting impactful literature reviews in this interactive online workshop for graduate students. Discover how to synthesize existing research succinctly while maintaining your own critical perspective and voice.

    Free
  • Linear Regression in R (Part 1): Intro to Linear Regression

    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

    By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

    Free
  • Linear Regression in R (Part 2): Multiple Linear Regression

    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

    By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

    Free
  • Q & A Session: Writing the CGRS-M Scholarship Application

    Tri-Agency Award Information Sessions
    Online virtual event

    Are you preparing your CGRS-M application (NSERC, CIHR, SSHRC)?

    This online Q&A session, facilitated by the College of Graduate Studies and the Centre for Scholarly Communication, provides an opportunity to ask questions about writing and submitting the application. There will be no presentation, so please come prepared with questions.