Numpy operations for multi-dimensional data include transposing arrays with transpose() or .T, stacking using vstack() and hstack(), concatenating arrays along specified axes, advanced indexing with boolean filters, broadcasting for operations on different shapes, aggregation functions like sum() and mean(), and handling masked arrays for missing data.