The secret is out: Machine learning, visualisation, and other data science skills are invaluable tools if you want to work in development. But you didn’t need us to tell you that — many of you are already programming away on Python or R, and diving into projects on Kaggle or DataKind.
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What many students and young professionals want to learn is how these data science skills are actually being applied in the field. Here are four ways that data science training will continue to be useful to you in your ongoing development career.
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