R Workshops

Learn R programming for data analysis and statistics

Currently Available

These workshops have upcoming sessions you can register for.

R Fundamentals: Parts 1-4
120 minutes per session
Intro

Learn R from scratch in this beginner-friendly series covering data frames, summary stats, and visualizations with ggplot.

Builds on: None!
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Workshop Catalog

These workshops are not currently scheduled but materials are available.

AI-Assisted Coding In R
120 minutes
Intro

Learn how to code with GitHub Copilot in VS Code and get started using AI to assist with R programming.

Builds on:
R Fundamentals: Parts 1-4
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R Census Data Fundamentals
120 minutes
Intermediate

Learn how to access, analyze, and visualize U.S. Census data in R using the tidycensus package.

Builds on:
R Fundamentals: Parts 1-4
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R Data Visualization
180 minutes
Intermediate

Learn the basics of data visualization in R using ggplot2, including common plot types and core design principles.

Builds on:
R Fundamentals: Parts 1-4 R Data Wrangling and Manipulation: Parts 1-2
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R Data Wrangling and Manipulation: Parts 1-2
120 minutes per session
Intermediate

Learn how to wrangle and tidy your data in R using the tidyverse for easier analysis and visualization.

Builds on:
R Fundamentals: Parts 1-4
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R Geospatial Fundamentals: Parts 1-2
120 minutes per session
Intermediate

Learn the basics of spatial analysis in R using sf and terra, from handling spatial data to creating effective maps.

Builds on:
R Fundamentals: Parts 1-4 R Data Wrangling and Manipulation: Parts 1-2
R Fundamentals: Parts 1-4 R Data Wrangling and Manipulation: Parts 1-2 R Data Visualization
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R SQL Fundamentals
120 minutes
Intermediate

Learn how to use SQL in R to access and query relational databases with DBI and dbplyr.

Builds on:
R Fundamentals: Parts 1-4 R Data Wrangling and Manipulation: Parts 1-2
R Fundamentals: Parts 1-4 R Data Wrangling and Manipulation: Parts 1-2 R Data Visualization
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R Machine Learning with tidymodels: Parts 1-2
120 minutes per session
Advanced

Get started with supervised machine learning in R using tidymodels and learn when and how to apply these techniques.

Builds on:
R Fundamentals: Parts 1-4 R Data Wrangling and Manipulation: Parts 1-2
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Workshop Categories

Python R AI Qualitative Other