R 4: Statistical Modelling (IN-PERSON)
R 4: Statistical Modelling (IN-PERSON) In-Person
IN-PERSON (Library North Building, Second Floor, Library Classroom 2 computer lab)
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. For individuals who are new to R, coding, or data analysis, it is highly recommended that the workshops be attended in sequential order. Additionally, 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): Dan Forsberg (MA, MS), Data Services Specialist with the Library's Research Data Services Team
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Build your data skills in our workshops and receive digital micro-credential badges to show off your achievements to others.
Related LibGuide: *Research Data Services @ Georgia State University Library by Mandy Swygart-Hobaugh
- Tuesday, June 27, 2023
- 1:00pm - 3:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Classroom 2, Library North 2
- Downtown Campus Library
- Data Services Workshops