“Spend time learning the basics” – An Interview with Data Scientist Thomas Wiecki | Dataconomy

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Mi sembra molto interessante notare che, così come manager e decisori cercano di acquisire nozioni di analisi del dato e gestione degli strumenti digitali, i Data Scientist affrontano il medesimo problema nell’altro senso: pur provvisti di competenze tecniche, hanno bisogno di esperienze dirette del mondo del business per acquisire conoscenze relative a requisiti e vincoli

 

What do you wish you knew earlier about being a data scientist?

How important non-technical skills are. Communication is key, but so are understanding business requirements and constraints. Academia does a pretty good job of training you for the former (verbal and written), although mostly it is assumed that communicate to an expert audience. This certainly will not be the case in industry where you have to communicate your results (as well as how you obtained them) to people with much more diverse backgrounds. This I find very challenging.Communication is key, but so are understanding business requirements and constraints.Click To TweetAs to general business skills, the best way to learn is probably to just start doing it. That’s why my advice for grad-students who are looking to move to industry would be to not obsess over their technical skills (or their Kaggle score) but rather try to get some real-world experience.

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