Guest instructors
Software engineer at Posit
Data science professor
University of British Columbia
Vancouver, Canada
TBD
Syllabus
We will be covering a number of topics in R programming with focus on R features helpful in data analyses workflow. These typically include:
- Literate programming with Quarto
- R code style guide & best practices
- Code debugging, optimization and profiling
- Parallelization and vectorization in R
- Crafting your own functions
- Coding in Positron
- R and AI, from code completions to agents
- Object oriented programming and R classes: S3, S4, R6 and RC
- Anatomy of an R package: Creating your own package from scratch
- Tidy data flow using tidyverse
- Data visualization in R
- Developing web applications using Shiny
- Team project work - developing data analyses workflow in R using acquired skills
- Collaborative work using Git and GitHub
Note that the exact topics covered may vary slightly from year to year based on participant feedback, instructors and emerging trends in R programming.
Therefore the syllabus is subject to change!
Course materials
Course materials will be made available at the beginning of the workshop and will remain open and publicly accessible online for at least a year. You can check out the materials from the previous year.
Sessions
Our daily schedule begins with a morning session from 09:00 to 12:30, starting with breakfast coffee from 08:30 to 09:00. There will be a 30-minute break at 10:30. Lunch is scheduled for 12:30 to 13:30, followed by the afternoon session from 13:30 to 17:00, which includes another 30-minute break at 15:00.
Please be aware that online guest lectures may take place after 17:00 due to differing time zones.
During most sessions, our instructors and teaching assistants will be available to support you with practical exercises and to answer any questions you may have.