Data Science


Advocate for Data Science at Your Organization

April 19, 2022 |

We are excited to introduce, a website with resources and best practices for making the case for data science at your organization.


RStudio Professional Drivers 2021.10.0

October 26, 2021 |

Announcing the 2021.10.0 release of the RStudio Professional Drivers, with single sign-on (SSO) for Hive and Impala.


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.


RStudio Professional Drivers 1.8.0

June 28, 2021 |

Announcing the 1.8.0 release of the RStudio Professional Drivers, with a fully supported Snowflake driver, a more compatible NTLMv2 support for the Microsoft SQLServer driver, and other updated drivers.


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.


(Re)Introducing the "Solutions" website

May 27, 2021 |

RStudio's solutions website has been around for a long time and has recently undergone an extensive redesign


RStudio and APIs

May 4, 2021 |

APIs can dramatically increase the impact of data analytics by making real time results accessible to a larger audience. RStudio empowers organizations to both create and use analytic APIs.


RStudio Professional Drivers 1.7.0

March 10, 2021 |

Announcing the 1.7.0 release of the RStudio Professional Drivers, which includes security updates, a preview release of the Snowflake driver, an updated Oracle driver, and other changes.


Enjoy More rstudio::global(2021)

February 1, 2021 |

The 24 hours of rstudio::global(2021) may be over, but you can still catch up on the talks you missed. Replay all the global keynotes and talks at


Custom Google Analytics Dashboards with R: Building The Dashboard

January 6, 2021 |

In this post, I continue our series on how to create your own Google Analytics dashboard in R. Using the data we downloaded in our last post, we'll now create a simple dashboard showing blog page views over time and highlighting the most popular ones.


Why RStudio Supports Python for Data Science

October 30, 2020 |

When our customers ask us why RStudio's products support Python as well, we have a simple answer: It's because our data shows that our customers use R and Python for different tasks


Ease Uncertainty by Boosting Your Data Science Team's Skills

September 23, 2020 |

To help address some of the uncertainty data science leaders may be feeling heading into the fall planning season, we note three new resources to help your team learn new skills and communicate their value better.


Learning Data Science with RStudio Cloud: A Student's Perspective

September 17, 2020 |

Lara Zaremba, a student at Goethe University, shares her experiences using RStudio Cloud to learn data science and how it has empowered her to help teach others.


R & RStudio - The Interoperability Environment for Data Analytics

August 17, 2020 |

From design philosophies to current development priorities, R with RStudio is a wonderful environment for anyone who seeks understanding through the analysis of data. Here's why.


Interoperability: Getting the Most Out of Your Analytic Investments

July 15, 2020 |

No single platform meets all the analytic needs of every organization. To avoid productivity-sapping complexity and underutilized infrastructure, encourage Interoperability so that your data scientists can access everything they need from their native tools.


Why You Need a World Class IDE to Do Serious Data Science

July 9, 2020 |

Data Science presents challenges in the iteration of new research, unique business requirements, multiple technologies, accountability of results, and finding lasting solutions. Learn how an Integrated Development Environment (IDE) built for Serious Data Science tackles these issues head-on.


Interoperability in July

July 7, 2020 |

RStudio will be focusing on interoperability in this blog during the month of July, highlighting how data scientists are using other tools with R to perform their work.


Future-Proofing Your Data Science Team

June 30, 2020 |

Data science today requires allowing employees to work from home. Mango Solutions believes that a centralized cloud-based platform and collaborative communication are key to making data science teams productive.


Does your Data Science Team Deliver Durable Value?

June 24, 2020 |

Delivering persistent value over the long haul from your data science team requires reusability, reproducibility, and up-to-date insights, built on a sustainable platform.


Is Your Data Science Team Agile?

June 9, 2020 |

Data science teams struggle to deliver results quickly. Agile techniques such as rapid iteration and continuous collaboration with stakeholders can help overcome these challenges.


Is Your Data Science Credible Enough?

June 2, 2020 |

For Data Science to be applied, decision makers must trust and accept the insights. Your team needs the tools to find relevant insights, and to communicate these insights in a way that builds trust and understanding.


The Role of the Data Scientist

May 27, 2020 |

A slew of new vendors believe that no-code analytics and visualization tools can replace the role of the traditional data scientist. This brief describes why we believe organizations will demand pro-code data scientists for years to come.


Driving Real, Lasting Value with Serious Data Science

May 19, 2020 |

Driving lasting value in an organization with data science is critical but difficult. The truth is most projects fail. What’s the answer? Serious Data Science is credible, agile and durable.

rstudio::conf 2019

Panel discussion: Growth and Data Science: Individuals, leaders, organizations and responsibilities

January 24, 2019 |

Hosted by Eduardo Arino de la Rubia of Instagram. With Hilary Parker, Karthik Ram, Angela Bassa, and Tracy Teal.


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”.


RStudio Drivers Overview

November 30, 2017 |

RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases.


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.

The Grammar and Graphics of Data Science

April 14, 2016 |

Data science is the process of turning data into understanding and actionable insight. Two key data science tools are data manipulation and visualization.