4 steps to neutralize a data scientist’s biggest threat

Data scientists suffer needlessly when they don’t account for the time it takes to properly complete all of the steps of exploratory data analysis There’s a scourge terrorizing data scientists and data science departments across the dataland. This plague infects even the best data scientists, causing missed deadlines, overrun budgets and undermined analyses. I call this beast “The Munge Monster.” The Munge Monster! Defeat it with the ACES Framework The “Munge Monster” is the part of exploratory data that (most) data science courses never fully prepare you for. The “Munge Monster,” put simply, is the excess time that should be devoted to data acquisition, cleaning, exploring, and summarizing that you didn’t budget for when anticipating your beautifully straightforward three dimensional principal component analysis graph or your nicely trimmed decision tree.…


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