May 2025
Beginner
178 pages
4h 50m
English
Content preview from Data Science Foundations
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13 COMMUNICATION
You might recall that we talked about framing the problem and developing a hypothesis back at the beginning of the data analysis lifecycle, in discovery. Having completed all the hard work in investigating the problem and drawing insight from it, we now need to communicate our findings. If we communicate them well, people will have knowledge that can inform and influence their decisions and actions. However, sub-optimal communication might mean that people don’t properly understand, and result in poor decisions. It is therefore important to think carefully about and invest time in how we communicate our findings. We need to ensure that it is meaningful to and resonates with our audience.
The data, information, knowledge, wisdom ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.