A Recurrent Neural Network (RNN) is a class of neural networks designed to handle sequential data by maintaining a state across sequences. RNNs are used for tasks such as time series analysis and language modeling, where the order of inputs is crucial. They capture temporal dependencies and patterns in data, making them suitable for tasks involving sequences.