This sounds like an argument that you can make for many fields. In data science,...

mrdrozdov on May 31, 2017 | parent | context | favorite | on: Remaining Trouble Spots with Computational Thinkin...

This sounds like an argument that you can make for many fields. In data science, certainly you can cover topics like clustering and PCA, which are reasonably advanced, but straightforward to teach because they can be visualized very clearly.