Latest: Data Science Leadership

May 19 2020
6 min
Driving Real, Lasting Value with Serious Data Science

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.

Lou Bajuk
May 12 2020
8 min
Equipping Your Data Science Team to Work from Home

Photo by Djurdjica Boskovic on Unsplash If your data science team experienced an abrupt transition to working at home, it may be a good time to rethink their development tools. In this post,...

Carl Howe
May 5 2020
4 min
Wrangling Unruly Data: The Bane of Every Data Science Team

There’s an old saying (at least old in data scientist years) that goes, “90% of data science is data wrangling.” This rings particularly true for data science leaders, who watch...

Carl Howe
Apr 28 2020
6 min
Avoid Irrelevancy and Fire Drills in Data Science Teams

Balancing the twin threats of data science development Data science leaders naturally want to maximize the value their teams deliver to their organization, and that often means helping them navigate...

Sean Lopp
Apr 22 2020
5 min
Getting to the Right Question

The Root Problem: We Don’t All Speak the Same Language Organizations across the modern business world recognize the critical importance of Data Science for competitive advantage. That...

Carl Howe
Apr 16 2020
7 min
Effective Visualizations for Credible, Data-Driven Decision Making

Recently, we were joined by the smart folks at Roche & Novartis to present a webinar on effective data visualization. You can watch the recording of the full presentation here. It was the latest...

Jason Milnes
Jan 29 2020
3 min
RStudio, PBC

We started the RStudio project because we were excited and inspired by R. The creators of R provided a flexible and powerful foundation for statistical computing; then made it free and open so that it...

JJ Allaire
Dec 17 2019
6 min
R vs. Python: What's the best language for Data Science?

We will briefly examine the debates over R vs. Python, and then share

Lou Bajuk