Did you cover Jacobian matrices and how to to calculate and classify local extremes in a multivariate function? Do you remember saddle points? If not you did miss multivariate.
The main thing you lose then is you don't know how to apply calculus on non linear coordinates like spherical coordinates and so on. It is useful for data analysis if your data is easier to work with after a non linear transformation, but if you don't work with that sort of thing then probably not very useful.
Then you did multivariate calculus in the linear algebra course. It isn't that strange to do it that way since the hard parts of multivariate has more to do with linear algebra than calculus.
The main thing you lose then is you don't know how to apply calculus on non linear coordinates like spherical coordinates and so on. It is useful for data analysis if your data is easier to work with after a non linear transformation, but if you don't work with that sort of thing then probably not very useful.