How to become a data scientist (infographic)

13 Feb 2015

A burgeoning area of IT employment, managing, measuring and understanding data is key to the tech industry. But how do you become a data scientist?

It’s a valid question, considering recent reports of the entire realm of Big Data being a major recruitment area in 2015.

Business intelligence and data analysis has driven Irish IT employment figures up, with overall professional job vacancies up almost a quarter on this time last year.

Companies with an Irish base such as AOL, Aon and Tableau Software specialise in big data, but the crux of employment in this area is the understanding of as many strands of the IT world as possible.

Software programming knowledge, strong business minds, the ability to explain complex things to people not quite initiated in the depth of projects, there are many strings to a data scientist’s bow.

DataCamp has designed a step-by-step infographic that outlines the main areas behind becoming a data scientist, which we have included below.

It lists everything from the importance of knowing how to code – languages like Python or Ruby, for example, can help a great deal – as well as keeping in the loop and joining groups of like-minded enthusiasts, to stay on top of the game.

How to become a data scientist

Data scientist image via Shutterstock

Gordon Hunt
By Gordon Hunt

Gordon Hunt joined Silicon Republic in October 2014 as a journalist. He spends most of his time avoiding conversations about music, appreciating even the least creative pun and rueing the day he panicked when meeting Paul McGrath. His favourite thing on the internet is the ‘Random Article’ link on Wikipedia.

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