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demand data science education surging traditional courses offered statistics departments meeting needs seeking training led number opinion pieces advocating update statistics curriculum unifying recommendation computing play prominent role strongly agree recommendation advocate main priority bring applications forefront proposed nolan speed 1999 also argue individuals tasked developing data science courses statistical training also experience analyzing data main objective solving realworld problems share set general principles offer detailed guide derived successful experience developing teaching graduatelevel introductory data science course centered entirely case studies argue importance statistical thinking defined wild pfannkuch 1999 describe approach teaches students three key skills needed succeed data science refer creating connecting computing guide also used statisticians wanting gain practical knowledge data science embarking teaching introductory course