![]() Are they laics (students, new hires, journalists for example) who need an explanation of all technical terms used in data science?.If your presentation is a long one, it’s a good idea to show this structure on the agenda slide so your audience will get a vision of what the presentation will be about.ĭefine the audience of your data analytics talkīefore going deeper into designing a presentation, ask yourself a question: who is your audience? I would recommend even doing it on paper first, as this supports creativity – more in this blog. Having a clear structure even before you start making slides is crucial. Therefore it’s important to keep in mind the following hints. It is full of technical terms, data charts, and non-trivial statistical analysis correlations explanation. How to make a good presentation of Data Science concepts?Ī presentation on a topic related to data science usually belongs to more complex ones. Such a model needs to be tested before being put into production, for example, to estimate a credit risk score.Īll those tasks can benefit from using visuals to present them. And just then data is used to create a predictive model. ![]() Tasks performed by data scientists start with collecting the data, preprocessing it, and exploring properties and main statistics.
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