R 4: Statistical Modelling (ONLINE)
R 4: Statistical Modelling (ONLINE) Online
Join workshop in Webex: https://gsumeetings.webex.com/meet/mcoskun1
Can't make it? Watch recorded workshop: https://lib.gsu.edu/rds-recordings
GSU Data Ready! Badges Micro-Credentialing: https://lib.gsu.edu/data-ready
The R workshop series will introduce participants to the fundamentals of using the R programming language and associated tools for the purposes of performing common data analysis tasks. The R programming language is 100% free to use and is extremely popular amongst researchers in both academia, business, and non-profits. It is especially useful for conducting statistical analysis.
This series consists of four workshops. Individuals are encouraged to attend (or watch the recording) for the “R 1: Getting Started…” workshop first; especially for individuals who are brand new to using R. The content for the remaining workshops are independent of each other and can be attended in any order.
While these workshops are taught exclusively using code (i.e. there are no point-and-click methods), attendees do not need to have any prior experience with programming, coding, or scripting. All are welcome.
-- Basic analysis, descriptive statistics, t-tests
-- Creating linear models (multiple linear regression & logistic regression)
-- Evaluating linear models and generating predictions
-- Creating simple machine learning models (Time permitting)
Software Requirements for Hands-on Participation:
For participants wishing to follow along with the “hands-on” portion of the workshop, please see the directions at the following url: https://research.library.gsu.edu/R/workshop
NOTE: Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.
Presenter(s): Muhammet Emre Coskun, PhD Candidate in Public Management and Policy, and Graduate Research Assistant with the Library's Research Data Services Team.
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- Thursday, July 14, 2022
- 1:00pm - 3:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- All Campuses
- This is an online event. Event URL will be sent via registration email.