BLACK LIVES MATTER
Join us and donate
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio Public Package Manager
RStudio Package Manager
Why Your Enterprise Needs Code-First Data Science
April 27, 2021
As a data scientist, or as a leader of a data science team, you are probably well aware of the power and flexibility that open source data science, based on R and Python, provides you and your team. However, your team probably exists within a typical enterprise, which has a wide variety of analytic tools, including self-service BI, point-and-click data science tools, and R and Python. Navigating this landscape, and convincing others in your organization of the value of open source data science, can be challenging.
In this webinar, we will explain why a modern enterprise needs code-first data science, and how it fits in with your organization's other investments:
After this webinar, you will have the tools to be an advocate in your organization for the value of R and Python data science, scaled and operationalized by RStudio's pro products.
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 include enjoying the Pacific Northwest outdoors, books, science advocacy, great food and theater.
Nick helps customers make the most of RStudio’s products. His background is in cognitive psychology, where he first developed his love for all things RStudio. Before joining RStudio, he worked to improve geopolitical forecasting with Good Judgment.