Time Series Analysis and Forecasting

Description

The Time Series Analysis and Forecasting program provides a complete understanding of methods and techniques used to analyze temporal data and predict future trends. Time series analysis is widely applied in finance, business, economics, weather prediction, sales forecasting, and many other fields where data evolves over time.

This course introduces you to statistical and machine learning approaches for time series modeling, including moving averages, ARIMA, SARIMA, exponential smoothing, and advanced deep learning techniques like LSTMs. With practical examples and hands-on projects, you’ll learn how to prepare, analyze, and forecast time-dependent data.