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R 4: Statistical Modelling (IN-PERSON & ONLINE)

R 4: Statistical Modelling (IN-PERSON & ONLINE) In-Person / Online


Attend either IN-PERSON (Library North Building, Second Floor, Library Classroom 2 computer lab) or ONLINE (https://gsumeetings.webex.com/meet/jallen108)

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.

Workshop Topics:

-- 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)

Prerequisites: None.

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): Josh Allen, PhD Candidate in Department of Political Science and Graduate Research Assistant with the Library's Research Data Services Team


Checkout our GSU Data Ready! Badges micro-credential courses!

Build your data skills in our workshops and receive digital micro-credential badges to show off your achievements to others.

Learn more about our micro-credential courses.

Related LibGuide: *Research Data Services @ Georgia State University Library by Mandy Swygart-Hobaugh

Date:
Friday, March 3, 2023
Time:
12:00pm - 2:00pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
Classroom 2, Library North 2
Campus:
Downtown Campus Library
Categories:
  Data Services Workshops     Online workshops  

Registration is required. There are 24 in-person seats available. There are 93 online seats available.

Event Organizer

Profile photo of Mandy Swygart-Hobaugh
Mandy Swygart-Hobaugh