Jacqueline Nolis
Structuring data science teams to empower the business
Sep Dadsetan
Infrastructure that Encourages Reproducibility
Aliyah Wakil
Increasing Data Literacy & Moving to Leadership
Upcoming calls
Hangout Highlights
What Data Scientists Get Wrong When Communicating Insights | Elaine McVey
Communicate the Value of Data Science to the Rest of the Organization | Jonathan Regenstein
How to Prioritize Projects | Moody Hadi
Providing Value to Stakeholders in Data Science | Óli Páll Geirsson
Measuring Impact from Data Science Insights | Frank Corrigan
Focus on Communicating Value | Tori Oblad
How to Know Your Machine Learning Model is Working | Joel Pepera
Transitioning to the Mindset 'Data Science Leader for the People' | Sandy Steiger
How to Quickly Implement Change | Bryan Butler
Collecting Questions Internally | Edgar Gallo
Centralized or Decentralized Data Science Teams | Jacqueline Nolis
Effectively Scoping Data Science Projects | Rami Krispin
Articles
The Advantages of Code-First Data Science | Lou Bajuk
How do you use Shiny to communicate to 8 million people? | Rachael Dempsey
My Excel and R Journey in Financial Services | Pritam Dalal
Debunking the Myths of R vs. Python | Lou Bajuk
Building Effective Data Science Teams | Rachael Dempsey
Managing COVID Vaccine Distribution, With a Little Help From Shiny | Jesse Mostipak
Building Effective Data Science Teams: Answering Your Questions | Rachael Dempsey
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