Organizational Thinking

UnicoRns are real

rstudio::conf 2020

UnicoRns are real

January 31, 2020

Common advice from experienced data scientists to job-seekers is to avoid job postings that describe a "data science unicorn": someone who has experience performing an unrealistically large array...

Small Team, Big Value: Using R to Design Visualizations

rstudio::conf 2020

Small Team, Big Value: Using R to Design Visualizations

January 31, 2020

Many R users can feel isolated due to the prevalence of Python or Tableau at their institutions.

Data Science in Meatspace

rstudio::conf 2020

Data Science in Meatspace

January 31, 2020

The Data Science community is dominated by folks doing amazing work with data that starts in and never leaves cyberspace.

The resilient R champion

rstudio::conf 2019

The resilient R champion

January 25, 2019

Merriam-Webster defines resilience as the ability to recover from or adjust easily to misfortune or change. As a Customer Success Representative who works alongside data scientists using RStudio’s...

Putting empathy in action Building a 'community of practice' for analytics in a global corporation

rstudio::conf 2019

Putting empathy in action Building a 'community of practice' for analytics in a global corporation

January 25, 2019

The theme of "empathy" will be recurring as he discusses how he worked to create a supportive learning environment focused on helping analysts "kick ass" regardless of their tool set.

Cultivating creativity in data work

rstudio::conf 2019

Cultivating creativity in data work

January 24, 2019

Traditionally, statistical training has focused primarily on mathematical derivations, proofs of statistical tests, and the general correctness of what methods to use for certain applications.