Featured Presenter: Stephen Kearns

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While the mantra “data science is a team sport” has been around for a few years, many organizations are only now just starting to grow their data science teams beyond a small collection of loosely associated individuals. But whether you’re a team of 2 or leading a team of hundreds, you're at risk of falling into these common collaboration pitfalls. 

Data science is about exploring numbers to identify business challenges and identify solutions — initiatives that require cross-functional teams of storytellers, programmers, statisticians, designers and accountants.
 Source: Ritika Puri, The Next Web Insider, August 2015

This webinar identifies the five most common challenges and offer actions to improve your data science team’s collaboration.

You will learn to avoid common pitfalls including:

  • Collaboration challenges among data science teams—including reproducibility and sharing notebooks
  • Data science deployment challenges preventing business value realization
  • Understanding your data science collaboration requirements
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Avoid common collaboration snares. 
Foster healthy data science collaboration. 

Stephen Kearns
@stephenakearns

 

Stephen Kearns is a Product Marketing Manager at Continuum Analytics, the creator and driving force behind Anaconda and Anaconda Enterprise. Prior to his work at Continuum Analytics, he was the Director for the Portals & Collaboration practice at a Toronto-based consulting firm. Steve holds an undergraduate degree in Computer Engineering from the University of Waterloo.

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Five Dysfunctions of 
a Data Science Team

Fostering Healthy Data
Science Collaboration

The Five Dysfunctions
of a Data Science Team

Learn How to Overcome the Challenges

We know you're busy—everyone who signs up for the webinar will receive the slides and recording from the webinar.

Featured Presenter: Stephen Kearns

Tuesday, March 28th, 2017
12PM Central | 1PM Eastern | 10AM Pacific

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