Hi Friends: this is a great article articulating how one statistics teacher has been thinking about “data science.” As a teacher of AP Statistics, Sports Research, and Computer Science Principles, I found this presentation very helpful. Enjoy!
(Adapted from a panel after-dinner talk for the in the opening session to DSET 2017)
Nobody knows what data science is, but it permeates our lives, and it’s increasingly clear that understanding data science, and its powers and limitations, is key to good citizenship. It’s how the 21st century finds its way. Also, there are lots of jobs—good jobs—where “data scientist” is the title.
So there ought to be data science education. But what should we teach, and how should we teach it?
Let me address the second question first. There are at least three approaches to take:
- students use data tools (i.e., pre-data-science)
- students use data science data products
- students do data science
I think all three are important, but let’s focus on the third choice. It has a problem: students in school aren’t ready to do “real” data science. At least not in 2017. So I will…
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