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.
Read more at KD Nuggets
Why improvements in data quality, governance, and model oversight are going to be major developments in the data science world.
Read more at Information Week
To build support and understanding for AI approaches, chief data officers need strong communicators on their teams.
Read more at TechTarget
Lindsay Stares is a production editor at TDWI. You can contact her here.