webinars
Code and slides for RStudio webinars
This repository contains materials from RStudio webinars, including presentation slides, code examples, and related resources. Developers and data scientists can clone the repository or download it as a zip file to access these materials.
The repository includes a comprehensive guide for presenters covering webinar structure, best practices, and technical requirements. It emphasizes creating well-organized presentations with clear sections, title cards, accessible resources hosted on GitHub, and shortened URLs for tracking. The guide also covers the webinar recording process, editing workflow, and tips for creating content that remains useful long after the live presentation.
Contributors#
Resources featuring webinars#
Keeping LLMs in Their Lane: Focused AI for Data Science and Research
From R+AI 2025, hosted by R Consortium
Keynote
LLMs are powerful, flexible, easy-to-use… and often wrong. This is a dangerous combination, especially for data analysis and scientific research, where correctness and reproducibility are core requirements. Fortunately, it turns out that by carefully applying LLMs to narrower use cases, we can turn them into surprisingly reliable assistants that accelerate and enhance, rather than undermine, scientific work. This is not just theory—I’ll showcase working examples of seamlessly integrating LLMs into analytic workflows, helping data scientists build interactive, intelligent applications without needing to be web developers. You’ll see firsthand how keeping LLMs focused lets us leverage their “intelligence” in a way that’s practical, rigorous, and reproducible.
Bio
Joe Cheng is the CTO and first employee at Posit, PBC (formerly known as RStudio), where he helped create the RStudio IDE, Shiny web framework, and Databot agent for exploratory data analysis.
R Consortium Resources
Main R Consortium Site: https://www.r-consortium.org/ R+AI website: https://rconsortium.github.io/RplusAI_website R Consortium webinars: https://r-consortium.org/webinars/webinars.html Blog: https://r-consortium.org/blog/ LinkedIn: https://www.linkedin.com/company/r-consortium/
Posit Academy Overview
Over the past few months, we’ve featured a number of stories from amazing pharmaceutical leaders at Roche, AstraZeneca, GSK, Eli Lilly, Pfizer, and Janssen - sharing their perspectives on the adoption of open source. You can read more about that here: https://posit.co/blog/open-source-in-pharma-from-five-perspectives/
One of the common questions we’ve seen across many of these meetups, webinars, and data science hangouts is how teams are training the next group of users and questions about best practices for those learning.
This shift to open-source data science requires many statistical programmers trained in legacy software to learn open-source languages like R and Python.
On Tuesday, February 7th, at 12pm ET, we will be joined by Garrett Grolemund, Director of Learning at Posit, to share how Posit Academy teaches programmers in the pharmaceutical space how to use open-source tools within the context of clinical data.
You’ll walk away from the presentation having learned how Posit Academy is different from traditional learning programs and how some of the largest pharmaceutical companies are using Academy to upskill their programmers in open-source data science.
Presenter: Garrett Grolemund, Director of Learning at Posit Academy and an award-winning R instructor. He’s the author of Hands-On Programming with R and a co-author of the best seller, R for Data Science.
To learn more: posit.co/academy Link to slides: https://github.com/RStudioEnterpriseMeetup/Presentations/blob/main/Posit-Academy_Pharma-Meetup.pdf
Tom Mock | RStudio Connect in Production
https://rstudio.com/resources/webinars/rstudio-connect-in-production/
In part 2 of this 3 part series, Tom covers: Communicating results can be the most challenging part of Data Science: many insights never leave the laptops where they are discovered. In this webinar, we will show you how to use RStudio Connect to deploy your results in a production environment. You’ll learn how to automate publishing, schedule updates, and provide consumers with self-service access to your work. RStudio Connect is a revolutionary new way to host executable Data Science content.
About Tom: Thomas is involved in the local and global data science community, serving as Outreach Coordinator for the Dallas R User Group, as a mentor for the R for Data Science Online Learning Community, as co-founder of #TidyTuesday, attending various Data Science and R-related conferences/meetups, and participated in Startup Weekend Fort Worth as a data scientist/entrepreneur
Kelly O’Briant | Interactivity in Production | RStudio (2019)
https://rstudio.com/resources/webinars/interactivity-in-production/
In part 3 of this 3 part series, Kelly covers: 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. Here you’ll learn: when to use off-the-shelf interactive products like parameterized R Markdown and htmlwidgets, when to create bespoke interactivity with Shiny, how to make your Shiny apps as fast as possible, how to support interactivity in production, and much more.
About Kelly: Kelly is Solutions Engineer for RStudio and also an organizer of the Washington DC chapter of R-Ladies Global. It’s an R users group for lady-folk and friends
Garrett Grolemund | Reproducibility in Production | RStudio (2019)
https://rstudio.com/resources/webinars/reproducibility-in-production/
In part 1 of this 3 part series, Garrett covers the following:
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 future, automatic updates to your work—all with the click of a button. This is the first in a three part webinar series that will describe this new form of reproducibility. Here, we begin by showing you how to write executable R Markdown documents for a production environment.
About Garrett: Garrett is the author of Hands-On Programming with R and co-author of R for Data Science and R Markdown: The Definitive Guide. He is a Data Scientist at RStudio and holds a Ph.D. in Statistics, but specializes in teaching. He’s taught people how to use R at over 50 government agencies, small businesses, and multi-billion dollar global companies; and he’s designed RStudio’s training materials for R, Shiny, R Markdown and more. Garrett wrote the popular lubridate package for dates and times in R and creates the RStudio cheat sheets
Webinar Summary | Avoid Dashboard Fatigue | RStudio (2020)
0:00 Introduction 0:07 The Problem 1:05 The Solution 3:20 Real Life Success Stories 5:27 Demo (with code)
Don’t have an hour to watch a webinar? We’ve made a summary video that covers the main points of our “Avoid Dashboard Fatigue” webinar from Sean Lopp and Rich Iannone.
The full webinar covered: Data science teams face a challenging task. Not only do they have to gain insight from data, they also have to persuade others to make decisions based on those insights. To close this gap, teams rely on tools like dashboards, apps, and APIs. But unfortunately data organizations can suffer from their own success - how many of those dashboards are viewed once and forgotten? Is a dashboard of dashboards really the right solution? And what about that pesky, precisely formatted Excel spreadsheet finance still wants every week?
In this webinar, we’ll show you an easy way teams can solve these problems using proactive email notifications through the blastula and gt packages, and how RStudio pro products can be used to scale out those solutions for enterprise applications. Dynamic emails are a powerful way to meet decision makers where they live - their inbox - while displaying exactly the results needed to influence decision-making. Best of all, these notifications are crafted with code, ensuring your work is still reproducible, durable, and credible.
We’ll demonstrate how this approach provides solutions for data quality monitoring, detecting and alerting on anomalies, and can even automate routine (but precisely formatted) KPI reporting.
Webinar materials: https://rstudio.com/resources/webinars/avoid-dashboard-fatigue/
About Sean: Sean has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. In his spare time he skis and mountain bikes and is a proud Colorado native.
About Rich: My background is in programming, data analysis, and data visualization. Much of my current work involves a combination of data acquisition, statistical programming, tools development, and visualizing the results. I love creating software that helps people accomplish things. I regularly update several R package projects (all available on GitHub). One such package is called DiagrammeR and it’s great for creating network graphs and performing analyses on the graphs. One of the big draws for open-source development is the collaboration that comes with the process. I encourage anyone interested to ask questions, make recommendations, or even help out if so inclined!
Jenny Bryan | Help me help you: creating reproducible examples | RStudio (2018)
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. A reprex makes a conversation about code more efficient and pleasant for all. This comes up whenever you ask someone for help, report a bug in software, or propose a new feature. The reprex package (https://reprex.Tidyverse.org ) makes it especially easy to prepare R code as a reprex, in order to share on sites such as https://community.rstudio.com , https://github.com , or https://stackoverflow.com . The habit of making little, rigorous, self-contained examples also has the great side effect of making you think more clearly about your programming problems.
Webinar materials: https://rstudio.com/resources/webinars/help-me-help-you-creating-reproducible-examples/
About Jenny: Jenny is a software engineer on the tidyverse team. She is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. Jenny is known for smoothing the interfaces between R and spreadsheets, web APIs, and Git/GitHub. She’s been working in R/S for over 20 years and is a member of the R Foundation. She also serves in the leadership of rOpenSci and Forwards and is an adjunct professor at the University of British Columbia
Nathan Stephens | Best Practices for Administering RStudio in Production | RStudio (2019)
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 which makes it easy to try RStudio professional products on your desktop for free. We also outline best practices for using R and RStudio in production.
Webinar materials: https://rstudio.com/resources/webinars/best-practices-for-administering-rstudio-in-production/
About Nathan: Nathan has a background in analytic solutions and consulting. He has experience building data science teams, architecting analytic infrastructure, and delivering innovative data products. He is a long time user of R
Tom Mock | A Gentle Introduction to Tidy Statistics in R | RStudio (2019)
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. In this webinar I will gently cover how to get started quickly with the basics of research statistics in R, providing an emphasis on reading data into R, exploratory data analysis with the Tidyverse, statistical testing with ANOVAs, and finally producing a publication-ready plot in ggplot2.
Use the code presented instantly on RStudio Cloud!
RStudio Cloud: rstudio.cloud Webinar materials: https://rstudio.com/resources/webinars/a-gentle-introduction-to-tidy-statistics-in-r/
About Thomas: Thomas is involved in the local and global data science community, serving as Outreach Coordinator for the Dallas R User Group, as a mentor for the R for Data Science Online Learning Community, as co-founder of #TidyTuesday, attending various Data Science and R-related conferences/meetups, and participated in Startup Weekend Fort Worth as a data scientist/entrepreneur
Edgar Ruiz | Programación con R | RStudio (2019)
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. Por ejemplo, puede ser que los datos que tenemos contienen varios países, y necesitamos crear un modelo por cada país. Otro caso sería el de correr múltiples operaciones sobre los mismos datos. Estos casos requieren que sepamos cómo usar iteraciones con R. Este webinar se concentrará en cómo utilizar el paquete llamado purrr para ayudarnos a resolver este tipo de problema.
Descargar materiales: https://rstudio.com/resources/webinars/programacio-n-con-r/
About Edgar: Edgar Ruiz es un Ingeniero de Soluciones en RStudio. Es el administrador de los sitios oficiales de sparklyr y de R para bases de datos. También es autor de los paquetes de R: dbplot, tidypredict y modeldb, y co-autor de el paquete dbplyr
Lou Bajuk & Kevin Bolger | Why Data Science in the Cloud? | RStudio (2020)
As business and organizational needs expand, a centralized ecosystem such as the cloud is needed to securely store and access data, conduct analyses, and share results.
We’ll share some examples of what it means to do data science in the cloud and discuss some problems that users may face along the way, and the solutions that RStudio products can provide. We’ll also discuss best practices for migrating to a cloud environment.
What you’ll learn:
- What are the benefits of working in a cloud environment?
- What are the different cloud environments available?
- How do I learn which is the best fit for my organization?
- What should I consider when migrating my data science infrastructure to the cloud?
Webinar materials: https://rstudio.com/resources/webinars/why-data-science-in-the-cloud/
About Lou: Lou is a passionate advocate for data science software, and has had many years of experience in a variety of leadership roles in large and small software companies, including product marketing, product management, engineering and customer success. In his spare time, his interests includes books, cycling, science advocacy, great food and theater.
About Kevin: After finishing his education in the University of Limerick, Ireland – Kevin’s passion for data science was cemented. Focusing primarily on data analytics and modelling, he went on to spend the first years of his career working at a biopharmaceutical company, where he led the data team on multiple products. Since moving to Seattle with his Washington native wife, Kevin has spent his spare time enjoying the beautiful PNW and playing ‘hurling’, an ancient gaelic field sport with the Seattle Gaels. He now leads the Data Science team at ProCogia as the Director of Data Solutions – where he works with clients from Biotech to Telecom
Hadley Wickham | testthat 3.0.0 | RStudio (2020)
In this webinar, I’ll introduce some of the major changes coming in testthat 3.0.0. The biggest new idea in testthat 3.0.0 is the idea of an edition. You must deliberately choose to use the 3rd edition, which allows us to make breaking changes without breaking old packages. testthat 3e deprecates a number of older functions that we no longer believe are a good idea, and tweaks the behaviour of expect_equal() and expect_identical() to give considerably more informative output (using the new waldo package).
testthat 3e also introduces the idea of snapshot tests which record expected value in external files, rather than in code. This makes them particularly well suited to testing user output and complex objects. I’ll show off the main advantages of snapshot testing, and why it’s better than our previous approaches of verify_output() and expect_known_output().
Finally, I’ll go over a bunch of smaller quality-of-life improvements, including tweaks to test reporting and improvements to expect_error(), expect_warning() and expect_message().
Webinar materials: https://rstudio.com/resources/webinars/testthat-3/
About Hadley: Hadley Wickham is the Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. You may be familiar with his packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools, pkgdown). Much of the material for the course is drawn from two of his existing books, Advanced R and R Packages, but the course also includes a lot of new material that will eventually become a book called “Tidy tools”
Mine Çetinkaya-Rundel | Teaching R online with RStudio Cloud | RStudio (2020)
RStudio Cloud is a lightweight and easy to set up / use solution to teaching R online, in the browser. In this webinar we will walk you through the steps of setting up your course on RStudio Cloud, highlighting the various functionalities for teachers and students. We will also discuss best practices and provide an opportunity for the audience to experience the setup first hand. Additionally, we highlight a suite of ready to use resources for teaching an introduction to data science and statistical thinking course using R.
Webinar materials: https://rstudio.com/resources/webinars/teaching-r-online-with-rstudio-cloud/
About Mine: Mine Çetinkaya-Rundel is Professional Educator and Data Scientist at RStudio as well as Senior Lecturer in the School of Mathematics at University of Edinburgh (on leave from Department of Statistical Science at Duke University). Mine’s work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education as well as pedagogical approaches for enhancing retention of women and under-represented minorities in STEM. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest and works on the OpenIntro project. She is also the creator and maintainer of datasciencebox.org and she teaches the popular Statistics with R MOOC on Coursera
Greg Wilson | Teaching Online at Short Notice | RStudio (2020)
So here you are: you planned to teach your class or deliver your workshop in person, and now you have to do it online or not at all.
Nobody is giving you time or money to make the change, and a hundred other things also need your attention. Where should you start, and what can you realistically hope to achieve? This one-hour webinar will present answers from people who have found themselves in this situation before, and will recommend a handful of techniques that you can apply right away.
Webinar materials: https://rstudio.com/resources/webinars/teaching-online-at-short-notice/
About Greg: Dr. Greg Wilson has worked for 35 years in both industry and academia, and is the author or editor of several books on computing and two for children. He is best known as the co-founder of Software Carpentry, a non-profit organization that teaches basic computing skills to researchers, and is now part of the education team at RStudio
James Blaire & Barret Schloerke | Integrating R with Plumber APIs | RStudio (2020)
Full title: Expanding R Horizons: Integrating R with Plumber APIs
In this webinar we will focus on using the Plumber package as a tool for integrating R with other frameworks and technologies. Plumber is a package that converts your existing R code to a web API using unique one-line comments. Example use cases will be used to demonstrate the power of APIs in data science and to highlight new features of the Plumber package. Finally, we will look at methods for deploying Plumber APIs to make them widely accessible.
Webinar materials: https://rstudio.com/resources/webinars/expanding-r-horizons-integrating-r-with-plumber-apis/
About James: James is a Solutions Engineer at RStudio, where he focusses on helping RStudio commercial customers successfully manage RStudio products. He is passionate about connecting R to other toolchains through tools like ODBC and APIs. He has a background in statistics and data science and finds any excuse he can to write R code.
About Barret: I specialize in Large Data Visualization where I utilize the interactivity of a web browser, the fast iterations of the R programming language, and large data storage capacity of Hadoop
Sean Lopp & Lou Bajuk | R & Python: A Data Science Love Story | RStudio (2020)
Many Data Science teams today leverage both R and Python in their work, but struggle to use them together. Data Science leaders and their business partners find it difficult to make key data science content easily discoverable and available for decision-making, while IT Admins and DevOps engineers grapple with how to efficiently support these teams without duplicating infrastructure. Even experienced data scientists familiar with both languages often struggle to combine them without painful context switching and manual translations.
In this webinar, you will learn how RStudio helps organizations tackle these challenges, with a focus on some of the recent additions to our products that have helped deepen the happy relationship between R and Python:
- Easily combine R and Python in a single Data Science project using a single IDE.
- Leverage a single infrastructure to launch and manage Jupyter Notebooks, JupyterLab, VSCode and the RStudio IDE, while giving your team easy access to Kubernetes and other resources.
- Share and manage access to R- and Python-based interactive applications, dashboards, and APIs, all in a single place.
Webinar materials: https://rstudio.com/resources/webinars/r-python-a-data-science-love-story/
About Lou: Lou is a passionate advocate for data science software, and has had many years of experience in a variety of leadership roles in large and small software companies, including product marketing, product management, engineering and customer success. In his spare time, his interests includes books, cycling, science advocacy, great food and theater.
About Sean: Sean has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. In his spare time he skis and mountain bikes and is a proud Colorado native
Sean Lopp & Rich Iannone | Avoid Dashboard Fatigue | RStudio (2020)
Data science teams face a challenging task. Not only do they have to gain insight from data, they also have to persuade others to make decisions based on those insights. To close this gap, teams rely on tools like dashboards, apps, and APIs. But unfortunately data organizations can suffer from their own success - how many of those dashboards are viewed once and forgotten? Is a dashboard of dashboards really the right solution? And what about that pesky, precisely formatted Excel spreadsheet finance still wants every week?
In this webinar, we’ll show you an easy way teams can solve these problems using proactive email notifications through the blastula and gt packages, and how RStudio pro products can be used to scale out those solutions for enterprise applications. Dynamic emails are a powerful way to meet decision makers where they live - their inbox - while displaying exactly the results needed to influence decision-making. Best of all, these notifications are crafted with code, ensuring your work is still reproducible, durable, and credible.
We’ll demonstrate how this approach provides solutions for data quality monitoring, detecting and alerting on anomalies, and can even automate routine (but precisely formatted) KPI reporting.
Webinar materials: https://rstudio.com/resources/webinars/avoid-dashboard-fatigue/
About Sean: Sean has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. In his spare time he skis and mountain bikes and is a proud Colorado native.
About Rich: My background is in programming, data analysis, and data visualization. Much of my current work involves a combination of data acquisition, statistical programming, tools development, and visualizing the results. I love creating software that helps people accomplish things. I regularly update several R package projects (all available on GitHub). One such package is called DiagrammeR and it’s great for creating network graphs and performing analyses on the graphs. One of the big draws for open-source development is the collaboration that comes with the process. I encourage anyone interested to ask questions, make recommendations, or even help out if so inclined!
Admin SSP | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Advanced Features of Sparkyr | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Beyond Static Reports With R Markdown | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Connect Basics | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Connect Production | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Covr Test Coverage | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Data Wrangling R | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Extending Spark Using Sparklyr | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Extracting Data From the Web: Part 1 | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Extracting Data From the Web: Part 2 | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Importing Data Into R | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Interactive Graphics with Shiny | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Introducing an R interface for Apache Spark | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Introducing Bookmarks | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Introducing Flex Dashboards | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Introducing Notebooks | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Introduction to Blogdown (R Package) | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message.
Read more on our blog: https://blog.rstudio.com/2017/09/11/announcing-blogdown/
Introduction to Bookdown (R Package) | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message.
Read more on our blog: https://blog.rstudio.com/2016/12/02/announcing-bookdown/
Introduction to Recipes (R Package) | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Profvis - Profiling tools for Faster R code | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
RcppParallel Overview | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Reproducible Reporting with R & RStudio | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
RStudio - Shiny Server Pro Architecture | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Shiny Gadgets with R | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Sparklyr: Using Spark with RMarkdown | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
The Tidyverse and RStudio Connect | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Understand Modules with R & RStudio | RStudio Webinar - 2016
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/web … . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Understanding Sparklyr Deployment Modes | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
Web API Updates for R | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
What’s New in Dplyr (0.7.0) | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message
What’s New With Readxl | RStudio Webinar - 2017
This is a recording of an RStudio webinar. You can subscribe to receive invitations to future webinars at https://www.rstudio.com/resources/webinars/ . We try to host a couple each month with the goal of furthering the R community’s understanding of R and RStudio’s capabilities.
We are always interested in receiving feedback, so please don’t hesitate to comment or reach out with a personal message