Big data is everywhere. Companies, governments and the media can't seem to get enough of the data deluge and the tsunami of data that is about to overwhelm us and/or make us a smarter planet. And data scientists, computer scientists and others are ready to teach students how to deal with big data, but we haven't changed the introductory statistics course much since the 1980's.
There's nothing wrong with the way we teach the introductory statistics course except for three things: we thing the wrong things, we teach them in the wrong order and we teach them in the wrong way. How can we teach students how to think statistically and at the same time how to build complex models in an introductory course? I'll argue that we have to let go of univariate thinking and we must rely on technology in a thoughtful way that enhances student understanding both of methods and the big picture of statistics.
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