Time Series Analysis and Forecasting

Time Series Analysis and Forecasting is a statistical technique that deals with time series data, or data that is ordered chronologically. This method is widely used for non-stationary data, such as economic, weather, stock price, and sales data. Coursera's Time Series Analysis and Forecasting catalogue offers the knowledge to understand various statistical models and use them to forecast future data points. You'll learn to analyze time-dependent data, handle trends and seasonality, predict future values, and understand the mathematical and statistical foundations of time series. This skill is essential for roles such as data scientists, financial analysts, economists, and business analysts, and you'll gain expertise in essential tools and software used in time series analysis.