Dimensionality refers to the number of independent parameters or coordinates needed to describe a dataset or system. In data analysis and machine learning, managing dimensionality is crucial to ensure computational efficiency and to avoid overfitting, as high-dimensional spaces can lead to the 'curse of dimensionality'.