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What is Effective Communication in Data Science about?

This document discusses the importance of communication in data science projects and provides tips for effective communication. It outlines qualities of well-communicated projects such as being concise and easy to understand. An example is provided to show how to communicate the costs and benefits of a potential project using a sensitivity matrix to highlight tradeoffs. Powerful forms of communication discussed include documentation, interactive tools, and notebooks.

Author

Antonio De Pace

Language

EN