From Physics to Data Science: my transition from academia to industry

Great event coming up on 17 Dec at the Data Lab. Find out more here:

“From Physics to Data Science – My transition from Academia to Industry”

Thursday, Dec 17, 2015, 6:30 PM

The Data Lab
University of Edinburgh, 15 South College Street, EH8 9AA Edinburgh, GB

34 Data & Technology enthusiasts Attending

Martina Pugliese, PHD – Data Scientist – Mallzeehttps://uk.linkedin.com/in/martinapugliese“From Physics to Data Science – My transition from Academia to Industry”Martina will talk about how you convince an industry that you are good for them, what skills you need to refine, soft skills you need to leverage, mathematics and numerical abilities an…

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Physicists ARE data scientists

“The emergence of big data – a term used to describe sets of data so large, disparate and proliferating that traditional data processing applications aren’t able to handle them – has led to a growing need for skilled professionals who can mine and interpret the required data sets to help businesses make better strategic decisions. There is currently a shortage of data scientists – with companies looking for programmers and analytical thinkers to plug the gap.” I saw this feature in the Guardian recently and the phrases “mine and interpret the required data”  and “programmers and analytical thinkers” really jumped out. The profile of a Physics degree on Prospects includes:

  • problem solving – with a pragmatic and analytical approach
  • reasoning– constructing logical arguments, applying analytical skills and grasping complex problems
  • numeracy – skills in using mathematics to find solutions to scientific problems, mathematical modelling and interpreting and presenting information graphically

Check out the full article and you’ll start to see why physicists would be good at this. The most common programming languages used in big data applications are Java, Python, C# and R so if you are also developing these though your studies you already have a headstart!