Pandas offers two primary data structures: Series and DataFrame. Series are one-dimensional labeled arrays, while DataFrames are two-dimensional tables that support various data types. These structures enable efficient data manipulation, indexing, filtering, and aggregation, making Pandas an essential library for data analysis and scientific computing in Python.