![]() The course focuses on creating and using tidy tables and is designed to be a sequel to Welcome to the Tidyverse. The course focuses on doing data science, not writing code but by the end of the day, students will find that they have gained confidence running code with R.Īn introduction to wrangling lists and tabular data in R with the tidyr, stringr, forcats, lubridate, and purrr packages. This github repository contains editable class materials for two separate one day workshops:Ī gentle introduction to R and its Tidyverse that focuses on learning to do Exploratory Data Analysis with the ggplot2, dplyr, broom, modelr, and rmarkdown packages. Looking for teaching material for an intro to R with the Tidyverse? Please help yourself! The content Now I’m updating the material for modern R beginners and as I go, I’m making the material accessible for everyone to use. But my course was designed for R users who have never heard of the Tidyverse, and I can’t find them anymore. The approach has worked well-I’ve gotten great reviews and have even won awards for my teaching. ![]() ![]() Each time I teach, I take notes during class and then polish my material afterwards, gradually honing a better and better set of class materials. I’ve been teaching people how to use the Tidyverse in a course called Master the Tidyverse, usually in one or two day long conference workshops. ![]()
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