November 17, 2021
A Joint Webinar with Solita, an RStudio Full Service Partner
October 7, 2021
LIVE Demo + Q&A with Enterprise Data Science Expert
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.
June 16, 2021
A joint webinar with eoda and Covestro
June 16, 2021
Ein gemeinsames Webinar mit eoda und Covestro
May 28, 2021
Companies struggle with reporting. Specifically, they’re caught in a cycle of inefficient and error-prone workflows.
May 13, 2021
Technology on its own is not enough. It is just as critical to focus on the people in your team.
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.
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.
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.
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.
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.
November 24, 2020
A joint webinar with RStudio and ProCogia
October 28, 2020
The Plumber package is a tool for integrating R with other frameworks and technologies
September 3, 2020
The R language is used within the tightly regulated clinical reporting workflows has remained limited.
August 26, 2020
For data science to be credible, agile and durable, we need to embrace the differences between R vs. Python.
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.
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.
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.
April 1, 2020
Effective visual communication is a core task for all data scientists including statisticians, epidemiologists, machine learning experts, bioinformaticians, etc.
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.
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.
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.
January 22, 2020
In this webinar, you'll learn how to develop, collaborate, manage and share your data science work in R and Python.
December 6, 2019
The use of R for statistical computing is growing quickly among statisticians in Janssen Research & Development.
November 8, 2019
Join Jeff Hollister & David Smith to learn about two examples of EPA's journey in adopting popular open source tools.
October 8, 2019
Interactive products take your data science to a new level, but they require new coding decisions.
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.
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.
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.
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.
July 2, 2019
There are many limitations of using Excel for your reports. RStudio makes reports and applications easy (and reproducible) using R.
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.
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.
May 6, 2019
In this webinar, we'll cover strategies to create reproducible environments in R and the tools you need to implement them.
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.
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.
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...
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.
November 30, 2018
In this webinar I’ll demonstrate how to use to broom to work with many models at once.
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.
October 4, 2018
This webinar will introduce RStudio Package Manager, a new product to organize R packages across teams, departments, and organizations.
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.
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?
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
August 11, 2018
This webinar breaks down one of the most esoteric concepts in the Tidyverse: list columns.
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.
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.
June 22, 2018
Fortunately, there are excellent tools built into R and RStudio that can make debugging easier.
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.
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”.
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.
April 25, 2018
TensorFlow is an open-source software library for numerical computation using data flow graphs.
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?
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.
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.
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.
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
November 30, 2017
RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases.