Bite-Sized Library Workshop Materials: The R Episode Series

The R Episode Series

Join Prof Kam (SCIS) in this 9-episode series of R workshops. No prior R programming experience is needed as long as you are willing to learn!

Ep.1: Making Your Research Reproducible with Quarto in RStudio

Learn intermediate-level R tools and concepts.

Ep.2: Doing Data Science with R: Tidyverse Methods

Learn the basics of using R for data science with Tidyverse, a powerful collection of data science tools within R.

Ep.3: Statistical Graphics for Data Discovery with R

Go beyond the basics of R! Learn how to create statistical graphics with R.

Ep.4: Building Better Explanatory Models with R

What is an explanatory model? How to make it better? Learn more in this hands-on workshop.

Ep.5: Building Better Predictive Models with R: Tidymodels Approach

Learn to create effective predictive models in R using Tidymodels and perform statistical analysis.

R Ep.6: Doing Data Science and Analytics with R without Programming

Are you interested in data science and analytics but don’t have the time to learn programming? Or perhaps you’re unable to invest in costly, commercial off-the-shelf analytics tools. What’s the solution? In this session, we’ll introduce you to open-source R GUI packages that enable you to perform data science and analytics without the need for programming skills.

Ep.7: Creating Awesome Web Slides in Quarto with Revealjs

Heard about reveal.js? Tired of creating PowerPoint slides? Learn how to create awesome web slides using R in this hands-on workshop.

Ep.8: Happy Git and Github with RStudio

Using R for data analysis? Join this workshop which introduces the synergy between R and GitHub and gain practical tips.

Ep.9: Building Website and Blog with Quarto

Starting a Quarto web post? Join us for this hands-on workshop to create one in R from scratch.

This workshop was designed by Assoc Prof. Kam Tin Seong, School of Computing and Information Systems. If you have any questions, you may contact Prof. Kam at tskam@smu.edu.sg or the library at library@smu.edu.sg.