descriptive statistics, [Ferson]
linear and logistic regression,
cluster detection for both large and small data sets,
comparison-of-means tests (t-tests, anovas), [Kreinovich]
discrimination problems (SVNs),
ordination problems (PCAs, etc.),
time series analyses,
image analysis problems, [Ferson]
Bayesian belief nets, [Tolo]
privacy considerations, [De Angelis]
case studies,
customization to exemplar disciplines.