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Data Skills: Advanced Data Analysis in R Online

Nowadays, basic analysis methods are sometimes not applicable, with more complicated methods being required to properly analyze your data. In this workshop, you will learn how to choose the correct analysis method for various scenarios, and conduct more advanced statistical analyses, such as:

  • Linear Regression
  • Generalized Linear Models
    • Logistic Regression
    • Ordinal Logistic Regression
    • Poisson Regression
    • Negative Binomial Regression
  • Linear Mixed-Effect Models

Prior knowledge: It is recommended (but not required) that all attendees have attended Workshop #1 - Introduction to RStudio and/or Workshop #3 - Data Analysis and Inferential Statistics in R, or otherwise have knowledge of RStudio at the level of those workshops. This is part 5 of a 5-part workshop series on RStudio.

NOTE: This workshop will be held online via Zoom. You MUST have a University of Guelph email (ending in either @guelphhumber.ca or @uoguelph.ca) to register and participate in this workshop. An email will be sent to all registered attendees 24 hours before the workshop. Registration closes 24 hours before the workshop.

Software / Account Requirements:

Before starting the workshop, please complete the following:

If you have any issues with your install, please contact the IT Help Desk. 

Date:
Wednesday, July 13, 2022
Time:
10:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Categories:
  Faculty/Staff     Graduate     Maps, GIS & Data     Research     Undergraduate  
Online:
This is an online event. Event URL will be sent via registration email.

Registration is required. There are 12 seats available.