Data Digest: Data Science Communication, Quality, and Storytelling
Understand the importance of communication skills and data quality for data science and big data.
- By Lindsay Stares
- July 25, 2017
Advice from successful data science teams includes understanding the iterative process and increasing communication skills with emotional intelligence.
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Why improvements in data quality, governance, and model oversight are going to be major developments in the data science world.
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To build support and understanding for AI approaches, chief data officers need strong communicators on their teams.
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Lindsay Stares is a production editor at TDWI. You can contact her at email@example.com.