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.


Announcing A Stroke of Innovation

March 25, 2022 |

Last year, a group from RStudio flew out to Iceland to capture the story of how Reykjavík's data science team improves the lives of their city's citizens.


How BI and Data Science Deliver Deeper Insight Together

February 8, 2022 |

Michael Lippis of The Outlook podcast interviewed RStudio's Lou Bajuk to discuss the relationship between data science and business intelligence tools.


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.