‘I keep saying the sexy job in the next ten years will be statisticians… The ability to take data – to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it – is going to be a hugely important skill in the next decades… Because now we really do have essentially free and ubiquitous data.’ Hal Varian, Google’s Chief Economist
What are Quantitative Skills?
Generating and analysing data requires you to be numerate and statistically savvy. Quantitative skills (QS) involve the ability to handle data and use numerical evidence systematically. QS can include anything from the ability to design surveys or experiments to assess and use quantitative evidence from surveys, digital media, archives and open data.
Why do they matter?
QS underpin effective, evidence-based planning and procedure in the public, private and other sectors, as well as ‘blue skies’ thinking. However there is a worrying QS deficit in the UK, with 55% of employers reporting widespread QS weaknesses amongst their employees.
Where can QS take me?
Broad numerical skills are highly prized in practically every sector, as these blog posts will attest. QS are not just transferable between different work places, they translate well overseas too. Global management consulting firmMcKinsey has estimated that by 2018 there will be a shortage of 15 – 20,000 data scientists and up to 1.5m data savvy managers and professionals in the US alone.
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