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For this episode, I speak with Hugo Bowne-Anderson; a data scientist at DataCamp (an educational platform for learning to code) and host of the DataFramed podcast.\nThe idea for asking Hugo to appear on this episode, was to chat about learning a programming language. Because for some traders, having the ability to write code can have great advantages\u2014such as having the ability to collect stats on market behavior, perform research in a robust data-driven way, visualize large amounts of data, backtest and analyse trading ideas, implement algorithmic strategies, etc.\nPlus more professional trading firms and finance related positions now require applicants to have some programming skills. And the same goes for many industries, which should be no surprise, considering a recent IBM study revealed that \u201890% of the world\u2019s data has been created in the last two years alone.\u2019\nHugo and I discuss when someone should consider learning to code, determining what\u2019s relevant, the time it takes to become fluent in a programming language, working with new datasets, what to be wary of when using predictive models. And for fun, I ask Hugo (as a data scientist) how he\u2019d go about creating a basic strategy\u2026\nLearn more about your ad choices. Visit megaphone.fm/adchoices