Once the dataset has been successfully explored, described, and cleaned, analysts are in a position to use it to do more than just understand what has already happened. With enough of the right kind of data, they may also be able to predict novel or future occurrences. Predictive analysis has traditionally relied on regression as its technique of choice. New types and increasing amounts of data have led to the recent development of new techniques in this area, including time series analysis techniques and machine learning techniques, such as neural networks. This course gives an overview of these prominent prediction techniques, which provides learners with a starting point from which to begin developing predictive analysis skills.