Grow your data science skills at posit::conf(2024)

August 12th-14th in Seattle

How can we effectively but gently launch new students into the world of data science? In this talk, I will discuss the ways that Albert Y. Kim and I have gone about approaching this by creating an open source, fully reproducible textbook using the bookdown package at The textbook uses the paradigm of books as versions instead of editions featuring an introductory “getting started” chapter with links to many videos and interactive content available on to support new R users. I’ll also discuss how we used #chalktalk (instead of slides) to slow down our instruction to help beginners grasp Tidyverse and coding concepts. I will take a glimpse into the new infer package for statistical inference, which performs statistical inference using an expressive syntax that follows tidy design principles. Lastly, I’ll demonstrate vignettes and R Markdown reports that our students created to further support the emerging Tidyverse community ecosystem and I’ll provide future goals for our project.

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