"In healthcare, that level of analytics behavior and mindset is where we're going," to accomplish goals like improving patient health and reducing hospital stays, minimizing infection rates and cutting overall costs.
To prepare clinicians for their inevitable big data and analytics work, "I foresee applied analytics courses in college for everyone," says Davis.
So does Jennifer Priestly, a professor of applied statistics and data science at Georgia's Kennesaw State University, which already offers 50 different applied statistics courses, all of which require working on real-world data sets supplied to the university by participating corporations.
"I think data science is going to be as foundational to education as English," Priestly says. "The reason is everybody is dealing with data. Everybody has to understand the basics of how to analyze data. Data science doesn't belong in the business school. Everybody should take data science."
Like I said, English majors are in for a world of hurt. Roll over, Emily Dickinson.
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