Master time series analytics and forecasting with practical guidance on applying statistical methods, machine learning algorithms, and deep learning techniques to sequential data. Learn to build robust predictive models for real-world applications, from financial modeling to sports analytics. Build a strong foundation in time series decomposition, feature engineering, and model evaluation while gaining hands-on experience with modern Python tools and libraries for processing temporal data.