Time series analysis involves analyzing a sequence of data points collected over time, such as weather measurements, stock prices, or quarterly sales. It records these data points at consistent intervals rather than randomly. Examples of time series data include weather data like rainfall and temperature readings, medical monitoring like EKG and EEG, quarterly sales, stock prices, industry forecasts, and interest rates.