Online training sessions in Time Series Analysis provide participants with a comprehensive understanding of analyzing time-dependent data. These sessions cover fundamental concepts like trend, seasonality, and statistical methods including moving averages and exponential smoothing. Participants learn to build and evaluate time series models such as ARIMA and SARIMA, and gain practical experience through hands-on exercises using programming languages like Python or R. Advanced topics like multivariate analysis and machine learning-based forecasting are also explored. By the end, participants acquire the skills to forecast future values and apply time series analysis techniques across various domains.