- Learning Roadmap
- ^rstudio::conf by Year
- ~rstudio::conf 2020
- ~rstudio::conf 2019
- ~rstudio::conf 2018
- ~rstudio::conf 2017
- ~Shiny Dev Con 2016
- ^rstudio::conf by Topic
- ~Keynotes & Fireside Chats
- ~Case Studies
- ~R Markdown
- Additional Talks
- Important RStudio Sites
Other content in this Stream
Welcome and RStudio Vision - Tareef Kawaf
Shiny in production: Principles, practices, and tools - Joe Cheng
Shiny is a web framework for R. As such, Shiny has always faced questions about whether it can or should be used “in production" we will answer these questions in this talk.
Explicit Direct Instruction in Programming Education - Felienne
In education, there is and has always been debate about how to teach. One of these debates centers around the role of the teacher: should their role be minimal, allowing students to find and...
The unreasonable effectiveness of public work - David Robinson
In this talk, I'll lay out the reasons that blogging, open source contribution, and other forms of public work are a critical part of a data science career.
Panel discussion: Growth and Data Science: Individuals, leaders, organizations and responsibilities
Hosted by Eduardo Arino de la Rubia of Instagram. With Hilary Parker, Karthik Ram, Angela Bassa, and Tracy Teal.
To the Tidyverse and Beyond – Dianne Cook
What are the future challenges for Data Science?
Machine Learning with R and TensorFlow
In this talk we’ll explore the use of TensorFlow from R, describing the complete workflow including data ingestion, training, and deploying models into production.
Fireside Chat: Tidyverse Discussion
Fireside Chat: R In Industry Discussion