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.
Ep.6: Financial Data Analysis with R
Learn approaches to analyse financial data sets using R and make meaningful decisions.
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.
Additionally, refer to the e-book R for Data Science (2nd ed.).