You mention tabular, hierarchical and network data structures; the other two that are common (and arguably more common that either hierarchical or network data) are geospatial and statistical (hypercube) data. You could say that statistics are tabular, as they can be expressed in that way, but spatial data really does need a dedicated spatial format.
There is a longer term plan to address geospatial data in a dedicated module. For now the majority of it that I deal with on the course is hierarchical and delivered in KML or geojson formats.
You mention tabular, hierarchical and network data structures; the other two that are common (and arguably more common that either hierarchical or network data) are geospatial and statistical (hypercube) data. You could say that statistics are tabular, as they can be expressed in that way, but spatial data really does need a dedicated spatial format.