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.

  • Scaling Data Science at the EPA56:32

    Scaling Data Science at the EPA

    Join Jeff Hollister & David Smith to learn about two examples of EPA's journey in adopting popular open source tools.

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  • Upcoming RStudio Webinars

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  • Interactivity in Production38:50

    Interactivity in Production

    Interactive products take your data science to a new level, but they require new coding decisions. This webinar will give you clear guidelines on when and how to add interactivity to your work.

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  • RStudio Connect in Production44:01

    RStudio Connect in Production

    Communicating results can be the most challenging part of Data Science: many insights never leave the laptops where they are discovered. RStudio Connect changes that.

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  • Reproducibility in Production53:23

    Reproducibility in Production

    Computational documents offer limitless opportunities for your business. With them, your consumers can rerun your report with new parameters, apply your analysis to new data, or schedule updates.

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  • 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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  • 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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