Webinars
Incorporating R into your Clinical Legacy Workflows
June 22, 2021
Many programmers in the life sciences and pharma industries have spent their careers using a single programming language, and adopting a new language can be quite challenging.
Data Science in Production: The Way to a Centralized Infrastructure
June 16, 2021
A joint webinar with eoda and Covestro
Data Science in Production: Der Weg zu einer Zentralisierten Infrastruktur
June 16, 2021
Ein gemeinsames Webinar mit eoda und Covestro
Rethink Reporting with Automation
May 28, 2021
Companies struggle with reporting. Specifically, they’re caught in a cycle of inefficient and error-prone workflows.
Building Effective Data Science Teams
May 13, 2021
Technology on its own is not enough. It is just as critical to focus on the people in your team.
Why Your Enterprise Needs Code-First Data Science
April 27, 2021
A modern enterprise needs code-first data science. Navigating this landscape, and convincing others in your organization of the value of open source data science, can be challenging.
Cómo ixpantia ayudó a Extendo a poner R en producción
April 21, 2021
Extendo, que opera como MiWeb en Norteamérica, es una empresa de marketing que se especializa en estrategias de marketing digital basadas en datos.
Managing Packages for Open Source Data Science
February 17, 2021
With over 15,000 R packages on CRAN, over 230,000 on PyPI, and more arriving every day, the task of managing a package environment for data science in R and Python can be daunting.
RStudio: A Single Home for R & Python
February 3, 2021
Many Data Science teams today are bilingual, leveraging both R and Python in their work. While both languages are tremendously powerful, teams frequently struggle to use them together.
Why Data Science in the Cloud?
December 2, 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.
Architecting RStudio Products in the Cloud
November 24, 2020
A joint webinar with RStudio and ProCogia
Expanding R Horizons: Integrating R with Plumber APIs
October 28, 2020
The Plumber package is a tool for integrating R with other frameworks and technologies
Using R to Drive Agility in Clinical Reporting
September 3, 2020
The R language is used within the tightly regulated clinical reporting workflows has remained limited.
Debunking the R vs. Python Myth
August 26, 2020
For data science to be credible, agile and durable, we need to embrace the differences between R vs. Python.
testthat 3.0.0
August 13, 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.
Enabling Remote Data Science Teams
July 28, 2020
Data science teams face a challenging task: To gain insight from data, and persuade others to make decisions based on those insights.
Avoid Dashboard Fatigue
July 14, 2020
Data science teams face a challenging task: To gain insight from data, and persuade others to make decisions based on those insights.
Effective Visualizations for Data Driven Decisions
April 1, 2020
Effective visual communication is a core task for all data scientists including statisticians, epidemiologists, machine learning experts, bioinformaticians, etc.
Teaching R online with RStudio Cloud
March 31, 2020
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.
Sharing on Short Notice: How to Get Your Materials Online With R Markdown
March 31, 2020
Educators create a lot of files for teaching- slides, exercises, solutions, assignments, data, figures - that all ultimately need to be shared with other people.
Teaching Online at Short Notice
March 24, 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.
R & Python: A Data Science Love Story
January 22, 2020
In this webinar, you'll learn how to develop, collaborate, manage and share your data science work in R and Python.
Scaling Data Science with R at Janssen Pharmaceuticals
December 6, 2019
The use of R for statistical computing is growing quickly among statisticians in Janssen Research & Development.
Scaling Data Science at the EPA
November 8, 2019
Join Jeff Hollister & David Smith to learn about two examples of EPA's journey in adopting popular open source tools.
Interactivity in Production
October 8, 2019
Interactive products take your data science to a new level, but they require new coding decisions.
RStudio Connect in Production
September 23, 2019
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.
Reproducibility in Production
September 7, 2019
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.
Modeling in Databases with R
July 31, 2019
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.
The Role of R in Drug Discovery, Research, and Development
July 18, 2019
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.
How to excel without using Excel
July 2, 2019
There are many limitations of using Excel for your reports. RStudio makes reports and applications easy (and reproducible) using R.
RStudio Cloud in the Classroom
June 12, 2019
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.
A Gentle Introduction to Tidy Statistics in R
June 12, 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.
Time_Travel_R
May 6, 2019
In this webinar, we'll cover strategies to create reproducible environments in R and the tools you need to implement them.
What Every Data Scientist Should Know About Education
April 8, 2019
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.
Best Practices for Administering RStudio in Production
March 21, 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...
Programación con R
March 19, 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.
Accessing and responding to Plotly events in Shiny
February 28, 2019
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...
Make PowerPoint Presentations with R Markdown
November 30, 2018
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.
Convenient analysis with broom
November 30, 2018
In this webinar I’ll demonstrate how to use to broom to work with many models at once.
Reproducible Finance with R
November 13, 2018
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.
Introduction to the RStudio Package Manager
October 4, 2018
This webinar will introduce RStudio Package Manager, a new product to organize R packages across teams, departments, and organizations.
Help me help you. Creating reproducible examples
September 21, 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.
Load testing Shiny
September 6, 2018
shinyloadtest and shinycannon are two new tools that work together to help you answer the question: how many users can my app support?
R & Python in RStudio 1.2 with Reticulate
August 27, 2018
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
How to Work with List Columns
August 11, 2018
This webinar breaks down one of the most esoteric concepts in the Tidyverse: list columns.
Plumbing APIs with plumber
July 25, 2018
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.
Professional R tooling and integration
July 13, 2018
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.
Debugging techniques in RStudio
June 22, 2018
Fortunately, there are excellent tools built into R and RStudio that can make debugging easier.
Scaling Shiny apps with asynchronous programming
June 7, 2018
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.
Usando R para la Ciencia de Datos
May 25, 2018
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”.
R-Hub Overview
May 9, 2018
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.
Training your TensorFlow models in the cloud
April 25, 2018
TensorFlow is an open-source software library for numerical computation using data flow graphs.
Thinking inside the box: you can do that inside a data frame?!
April 13, 2018
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?
Best practices for working with databases
March 30, 2018
Get the most out of joining R forces with database forces. We will review key concepts, share the latest in R packages, and demo useful techniques.
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr.
February 7, 2018
Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr. It enables Tidyverse users to write reusable functions and pipeline wrappers.
Terminal Updates
December 22, 2017
In this webinar for seasoned command-line users we’ll dig into the terminal features and the possibilities it opens up in your workflows on both RStudio Desktop and RStudio Server.
New features of the IDE
December 8, 2017
The IDE has new features including: a new Terminal tab, which gives you a fully functional terminal emulator right inside the IDE; the Connections tab, which lets you browse your data and data sources
RStudio Drivers Overview
November 30, 2017
RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases.
Reproducible Reporting
November 21, 2017
R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentations that are never out of date.
Data science case study an analysis in R, using a variety of packages for web scraping and processing non-tidy data into tidy data frames
November 17, 2017
An analysis in R, using a variety of packages for web scraping and processing non-tidy data into tidy data frames to be used in geospatial analysis.
General data science overview - data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication.
November 1, 2017
The courses focuses on data acquisition and wrangling, exploratory data analysis, data visualization, and effective communication and approaching statistics from a model-based, perspective.
Testing Shiny applications with Shinytest - Shiny developers now have tools for automated testing of complete applications.
October 4, 2017
Testing Shiny applications with Shinytest - Shiny developers now have tools for automated testing of complete applications.
Introduction to shiny
September 27, 2017
Shiny is an R package that makes it easy to build interactive web apps straight from R.
Tidyverse visualization manipulation basics
September 14, 2017
This introduction to the tidyverse will cover several best practices for analyzing data with R.
