Apart from visual demonstrations of data, verbal communication is just as important when presenting results. If you are not merely uploading results or publishing, you are usually presenting data to a room of data scientists, executives, or to a conference hall.
In any case, there are key areas to focus on when giving a verbal presentation, especially when the presentation is regarding findings of data.
There are generally two styles of oral presentation: one meant for more professional settings, including corporate offices where the problem at hand is usually tied directly to company performance or some other key performance indicator (KPI), and another meant more for a room of your peers where the key idea is to motivate the audience to care about your work.
Whether it is a formal or casual presentation, people like to hear stories. When you are presenting results, you are not just spitting out facts and metrics, you are attempting to frame the minds of your audience to believe in and care about what you have to say.
When giving a presentation, always be aware of your audience and try to gauge their reactions/interest in what you are saying. If they seem unengaged, try to relate the problem to them:
"Just think, when popular TV shows like Game of Thrones come back, your employees will all spend more time watching TV and therefore will have lower work performance."
Now you have their attention. It's about relating to your audience; whether it's your boss or your mom's friend, you have to find a way to make it relevant.
When presenting data findings to a more formal audience, I like to stick to the following six steps:
By following these steps, we can hit on all of the major areas of the data science method. The first thing you want to hit on during a formal presentation is action. You want your words and solutions to be actionable. There must be a clear path to take upon the completion of the project and the future steps should be defined.