Master R Developer Workshop
This is a two-day workshop, designed for people with experience programming in R. You should have written a number of functions, and be comfortable with R’s basic data structures (vectors, matrices, arrays, lists, and data frames). We will cover the three main paradigms of R programming: functional programming, object oriented programming and metaprogramming; and learn how to make R packages, the key to well-documented, well-tested and easily-distributed R code.
Intermediate Shiny Workshop
This is a new two-day workshop designed to go beyond the basics. Some Shiny programming experience is assumed. Write apps that are faster, more robust, and easier to maintain by mastering Shiny’s more advanced features. Explore interactive plots, modules, database integration, Shiny Gadgets, and performance profiling, with plenty of hands-on coding. Learn from Shiny’s creator the mechanics of writing better apps but also why things work the way they do.
Master the Tidyverse: An Introduction to R for Data Science
This is a new two-day workshop that covers the new book “R for Data Science” from Hadley Wickham and Garrett Grolemund. The workshop provides a comprehensive overview of what is now called the Tidyverse, a core set of R packages that are essential to Data Science. We will visualize, transform, and model data in R and work with date-times, character strings, and untidy data formats. Along the way, you will learn to use the brightest stars in the tidyverse: the ggplot2, dplyr, tidyr, readr, purrr and tibble packages along with stringr, lubridate, hms, and forcats. A basic knowledge of R syntax is assumed.