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This week Tableau joins us for a special edition of Makeover Monday . One of their very own, Marissa Michelotti , published this v...
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Data skills — the skills to turn data into insight and action — are the driver of modern economies. According to the World Economic Forum, computing and mathematically-focused jobs are showing the strongest growth, at the expense of less quantitative roles. So whether it’s to maximize the part we play in data-driven economic growth, or simply to ensure that we and our teams remain relevant and employable, we need to think about transitioning to a more data-skewed skillset. But which skills should you focus on? Can most of us expect to keep pace with this trend ourselves, or would we be better off retreating to shrinking areas of the economy, leaving data skills to the specialists? To help answer this question, you can use a 2×2 matrix to plot how long it would take to learn a skill, versus how useful it would be, to help determine which would make the most sense to learn now. The skills that are highly useful, with the lowest time-to-learn are the low hanging fruit that will add value for you and your team quickly.
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