  Our introductory classes in statistics and data science use too much
mathematics. The key causal effect which our students want our classes to have
is to improve their future performance and opportunities. The more professional
their computing skills (in the context of data analysis), the greater their
likely success. Introductory courses should feature almost no
mathematical/statistical formulas beyond simple algebra.
