RStudio Webinars

Webinars and videos are presented on a variety of subjects. We will cover packages, products (both Open Source & Commercial), have guest presenters, as well as general Q&A “Office Hour” recordings. All materials will be made available and at no cost. Our GitHub webinar repository for all webinars: https://github.com/rstudio/webinars.

  • Best Practices for Administering RStudio in Production - Nathan Stephens44:28

    Best Practices for Administering RStudio in Production - Nathan Stephens

    Most organizations are unfamiliar with the R programming language. As a result they often struggle to onboard and manage R in production. In this webinar we introduce the RStudio Quickstart...

    Watch Video
  • Upcoming RStudio Webinars

    Learn More
  • Programación con R - Edgar Ruiz58:30

    Programación con R - Edgar Ruiz

    Hay ocasiones que, cuando trabajamos en un análisis en R, necesitamos dividir nuestros datos en grupos, y después tenemos que correr la misma operación sobre cada grupo.

    Watch Video
  • ×

    Please register to receive regular updates on our webinars.

    !
    Thank you!
    Error - something went wrong!
  • Accessing and responding to Plotly events in Shiny - Carson Sievert54:18

    Accessing and responding to Plotly events in Shiny - Carson Sievert

    For several years now, the Plotly package has provided an `event_data()` function for accessing click, hover and drag event information in Shiny. This functionality provides a powerful way to build...

    Watch Video
  • Make PowerPoint Presentations with R Markdown - Nathan Stephens41:55

    Make PowerPoint Presentations with R Markdown - Nathan Stephens

    This webinar demonstrates how to create feature rich PowerPoint presentations from R Markdown and how to use these presentations to share insights, visualizations, Shiny apps, and more.

    Watch Video
  • Convenient analysis with broom - Alex Hayes39:35

    Convenient analysis with broom - Alex Hayes

    In this webinar I’ll demonstrate how to use to broom to work with many models at once.

    Watch Video
  • Reproducible Finance with R - Jonathan Regenstein58:22

    Reproducible Finance with R - Jonathan Regenstein

    In this webinar, we will create and code a real (but simple) portfolio analysis in order to explore R's data import, wrangling, and visualization tools in the world of investment management.

    Watch Video
  • Introduction to the RStudio Package Manager - Sean Lopp52:04

    Introduction to the RStudio Package Manager - Sean Lopp

    This webinar will introduce RStudio Package Manager, a new product to organize R packages across teams, departments, and organizations.

    Watch Video
  • Help me help you. Creating reproducible examples - Jenny Bryan52:29

    Help me help you. Creating reproducible examples - Jenny Bryan

    What is a reprex? It’s a reproducible example. Making a great reprex is both an art and a science and this webinar will cover both aspects.

    Watch Video
  • Load testing Shiny - Alan Dipert47:09

    Load testing Shiny - Alan Dipert

    shinyloadtest and shinycannon are two new tools that work together to help you answer the question: how many users can my app support?

    Watch Video
  • R, RStudio 1.2 & Python a love story - Sean Lopp50:45

    R, RStudio 1.2 & Python a love story - Sean Lopp

    We'll discuss R’s history of interoperability and the philosophy of Reticulate, the Reticulate-powered features in RStudio 1.2, and talk through a case study of a reticulated Shiny app

    Watch Video
  • How to Work with List Columns - Garrett Grolemund50:22

    How to Work with List Columns - Garrett Grolemund

    This webinar breaks down one of the most esoteric concepts in the tidyverse: list columns.

    Watch Video
  • Plumbing APIs with plumber - Jeff Allen48:24

    Plumbing APIs with plumber - Jeff Allen

    Plumber is an open-source R package that converts your existing R code into a web API; this enables you to leverage your R code from other platforms or programing languages.

    Watch Video
  • Comunicando resultados con R - Edgar Ruiz50:17

    Comunicando resultados con R - Edgar Ruiz

    Watch Video
  • Professional R tooling and integration - Nathan Stephens41:12

    Professional R tooling and integration - Nathan Stephens

    Many organizations do not officially recognize R as a standard or integrate R with IT managed systems. Yet these same organizations employ data science teams that use R on a daily basis.

    Watch Video
  • Debugging techniques in RStudio44:32

    Debugging techniques in RStudio

    Fortunately, there are excellent tools built into R and RStudio that can make debugging easier.

    Watch Video
  • Scaling Shiny apps with asynchronous programming55:57

    Scaling Shiny apps with asynchronous programming

    Asynchronous programming offers a way to offload certain classes of long-running operations from the main R thread, such that Shiny apps can remain responsive.

    Watch Video
  • Usando R para la Ciencia de Datos - Using R for Data Science51:24

    Usando R para la Ciencia de Datos - Using R for Data Science

    La extracción de conocimiento mediante el análisis de datos es usualmente una tarea compleja y ardua. Las extensiones de R, llamadas paquetes, que son parte de lo que en inglés llamamos “tidyverse”.

    Watch Video
  • R-Hub Overview43:53

    R-Hub Overview

    The R-hub builder is an R package build and continuous integration service. It aims to simplify the R package development process: creating a package, building binaries and continuous integration.

    Watch Video
  • Training your TensorFlow models in the cloud52:21

    Training your TensorFlow models in the cloud

    TensorFlow is an open-source software library for numerical computation using data flow graphs.

    Watch Video
  • Thinking inside the box: you can do that inside a data frame?!43:40

    Thinking inside the box: you can do that inside a data frame?!

    The data frame is a crucial data structure in R and, especially, in the tidyverse. Working on a column or a variable is a very natural operation, which is great. But what about row-oriented work?

    Watch Video
  • loading
    Loading More...