January 31, 2020
ML in production is one of the most obvious ways that data science organizations create value in business. However, these models are at the very end of a long story of how quantitative research...
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...
January 31, 2020
Many R users can feel isolated due to the prevalence of Python or Tableau at their institutions.
January 31, 2020
The Data Science community is dominated by folks doing amazing work with data that starts in and never leaves cyberspace.
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...
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.
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.
