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.

  • RStudio local jobs and remote launcher50:21

    RStudio local jobs and remote launcher

    RStudio local jobs and remote launcher: Offload your work and unblock your console

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  • Upcoming RStudio Webinars

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  • Modeling in Databases with R 39:59

    Modeling in Databases with R

    Find out how to further integrate databases and R. We will cover the latest on plotting, correlations, predictions and even fitting models inside databases, but using R code.

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  • The Role of R in Drug Discovery, Research, and Development59:10

    The Role of R in Drug Discovery, Research, and Development

    The analytics required to bring a novel molecule to market involves the collective effort of hundreds of quantitative scientists, with incredibly diverse training, tools and workflows.

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  • A Gentle Introduction to Tidy Statistics in R54:49

    A Gentle Introduction to Tidy Statistics in R

    R is a fantastic language for statistical programming, but making the jump from point and click interfaces to code can be intimidating for individuals new to R.

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  • RStudio Cloud in the Classroom54:33

    RStudio Cloud in the Classroom

    Much has been written in the statistics and data science education literature about pedagogical tools and approaches to provide a practical computational foundation for students.

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  • Time_Travel_R56:29

    Time_Travel_R

    In this webinar, we'll cover strategies to create reproducible environments in R and the tools you need to implement them.

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  • What Every Data Scientist Should Know About Education1:01:27

    What Every Data Scientist Should Know About Education

    Thousands of programmers teach coding, web design, robotics, and other skills in the workplace or after-school programs and bootcamps, but most have never been taught how to teach well.

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  • Best Practices for Administering RStudio in Production44:28

    Best Practices for Administering RStudio in Production

    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...

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  • Programación con R58:30

    Programación con R

    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.

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  • Accessing and responding to Plotly events in Shiny54:18

    Accessing and responding to Plotly events in Shiny

    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...

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  • Make PowerPoint Presentations with R Markdown41:55

    Make PowerPoint Presentations with R Markdown

    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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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?

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  • 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

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  • 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.

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  • 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.

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  • Comunicando resultados con R50:17

    Comunicando resultados con R

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