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"Data science unicorns" are those rare people who "understand the
(data) problem they seek to resolve, have the mathematical expertise to analyse the problem and possess the computing skills to covert this knowledge into outcomes." In fact, they are considered so rare that some people have suggested they don't really exist. Yet, although nobody is born a data science unicorn, organisations with the right know-how can create them.
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In the latest episode of Value Driven Data Science, I'm joined by data scientist (and amateur magician) Dr Peter Prevos, author of the recently released Data Science for Water Utilities, to discuss his work in creating data science unicorns from water industry subject matter experts around the world.
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Some of the things we discuss in this episode include:
- Why Linux is the best operating system for data science.
- How the social sciences can make you a better data scientist.
- Creating data science unicorns in the water industry.
- The similarities and differences
between data science in the water industry and in other industries.
- What data scientists can learn from the world of theatrical magic.
You can listen to this episode by clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
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