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Nettoyage des données, un travail ingrat mais vital en datascience

Data science is a lot of drudgery, and that's good

Data science is a lot of drudgery, and that’s good Data science is a lot of drudgery, and that’s good Quality data science outputs depend on quality inputs. Data cleansing and preparing may not be exciting work, but it’s critical. Credit: Dreamstime Data scientist may be one of the sexiest jobs of our century, as Harvard Business Review opines, but it sure does involve a lot of unsexy, manual labour. Data scientist? More like data janitor. Not that there’s anything wrong with that. In fact, there’s much that is right with it. For years we’ve oversold the glamorous side of data science (build models that cure cancer!) while overlooking the simple reality that much of data science is cleaning and preparing data, and this aspect of data science is fundamental to doing data science well.

Data science needs drudges

Data science is a lot of drudgery, and that's good