Presentations

In R-LAB, you will develop highly practical, career-advancing programming skills as we cover topics related to data science and advanced R programming. We will work our way through the R for Data Science and Advanced R books together from June 24 to October 28, with a weekly presentation followed by a practical skill development activity. Below is the course outline:

---

R for Data Science

6 weeks | June 24 – July 29

Begin your R-LAB journey by building the foundational skills every data professional needs. Working through R for Data Science, you will learn how to import, transform, and visualize data using the tidyverse, apply core programming concepts in R, and communicate your findings through polished reports and reproducible analyses.

45-minute presentation + 45-minute skill development activity each week.

---

Advanced R Foundations

7 weeks | August 12 – September 23

Deepen your understanding of R as a programming language by exploring the internals that power everything you write. Drawing from Advanced R, this module covers vectors, subsetting, control flow, function creation, environments, and conditions — giving you a precise mental model of how R actually works under the hood.

60-minute presentation + 45-minute skill development activity each week.

---

Advanced R Special Topics

4 weeks | October 7 – October 28

Cap the program with R’s most powerful and expressive capabilities. This final module dives into functional and object-oriented programming, metaprogramming, and performance optimization — the techniques that distinguish proficient R users from expert ones and that open doors to building production-ready tools and packages.

90-minute presentation + 45-minute skill development activity each week.