RStudio’s mission is to create free and open-source software for data science, and at the core of this mission is a focus on a code-first approach. Data scientists grapple every day with novel, complex, often vaguely-defined problems with potential value to their organization. These sorts of problems are most easily approached with code. Learn more.


Why Your Data Science Team Might Need a Shiny Deployment Engineer

October 14, 2021 |

We interviewed Vergil Weatherford from Guidehouse to learn why they are planning to hire a Senior Shiny Deployment Engineer. Weatherford believes data science teams can benefit from someone who can apply software development best practices to support the deployment of high-quality R and Python applications into production.


The Advantages of Code-First Data Science

September 16, 2021 |

Three key attributes define Serious Data Science; open-source software, code-first development, and a centralized data science infrastructure. This approach has been successful at driving value and impact at hundreds of organizations. In this post, we will focus on the advantages of code-first data science.


My Excel and R Journey in Financial Services

September 7, 2021 |

Pritam Dalal from the RStudio Customer Success team shares his perspective on the pros and cons of Excel vs. code-first data science, based on observations from his career in financial services.


A CEO’s View of Open Source Data Science in the Enterprise

July 15, 2021 |

We recently sat down with Art Steinmetz, former CEO of OppenheimerFunds, to get his unique perspective on the value and viability of code-first, open source data science for the enterprise.


R in Supply Chain Management: Meetup Q&A

June 17, 2021 |

Supply chain management presents a number of interesting and challenging problems to solve in topics such as demand and supply planning, inventory management, and forecasting. This post dives into questions from the R in Supply Chain Management meetup with Nicolas Nguyen.


Code-First Data Science for the Enterprise

May 12, 2021 |

While you may already be a practitioner of code-first data science with R or Python, chances are you work within a larger organization with many analytic tools. In this post, we give you some advice on navigating this landscape, and convincing others in your organization of the value of code-first data science.