Data science predictive analysis is a method of forecasting future trends, behaviors, and events by using complex statistical models. In essence, it is an advanced form of data mining that identifies patterns in large volumes of data to make predictions about the future. It can be used in a variety of contexts, from predicting customer buying habits to forecasting stock market activity. By analyzing past behavior, data scientists can gain insight into the likely outcomes for various scenarios and make informed decisions that can help streamline operations and maximize productivity. Ultimately, data science predictive analysis provides invaluable insights that can prove to be invaluable to any business.