ClickHouse allows users to perform statistical analysis and data science tasks without the need for programming languages like Python or R. By utilizing ClickHouse's built-in machine learning functions, such as stochasticLinearRegression and evalMLMethod, users can train models directly within the database, reducing the amount of code required and enabling faster processing of larger datasets. This approach is particularly useful for forecasting tasks, where it can capture time-varying patterns and seasonality with ease. The example demonstrates how to create a forecasting model using ClickHouse's ML functions, which can be used to generate forecasts beyond the last date in the dataset, providing real-time possibilities for data analysis and analytics.