Time series analysis involves analyzing a sequence of data points collected over time, such as weather data, stock prices, sales figures, and medical readings. It differs from random data collection by recording measurements at consistent intervals. The document introduces time series analysis and forecasting, and provides examples of common data types analyzed as time series, including weather data, stock prices, sales figures, medical readings like EKG and EEG, and industry forecasts.