Learn efficient workflows for developing high-quality R functions, using the set of conventions codified by a package. We'll discuss API design, functional programming tools, the basics of object design in S3, and the tidy eval system for NSE. This is a two-day hands on workshop for those who have embraced the tidyverse and now want to expand it to meet their own needs. Building Tidy Tools Charlotte Wickham and Hadley Wickham More info and materials can be found here. This course is led by friend of RStudio, Amelia McNamara, from the Department of Computer & Information Sciences at the University of St, Thomas, and Hadley Wickham, RStudio Chief Scientist and co-author of the book R for Data Science. You should take this course if you are newer to R and want to establish good habits or have some experience and simply want to learn the tidiest ways to use R. Along the way, you will learn and use many packages from the tidyverse including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and forcats. You will learn how to visualize, transform, and model data in R and work with date-times, character strings, and untidy data formats. This is a two-day hands on workshop based on the book “R for Data Science”. Introduction to Data Science in the Tidyverse Amelia McNamara and Hadley Wickham ![]() RStudio Professional Administrator Certification Workshop Tidyverse Train-the-Trainer Certification Workshop Shiny Train-the-Trainer Certification Workshop ![]() ![]() Introduction to Data Science in the Tidyverse Rstudio-conf 2019 Workshop materials Workshop
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