Introduces SQL capabilities for data analysis. Different types of databases are compared, methods for preparing data for analysis are described. Describes data types, SQL query structure, profiling, structuring, and data cleanup. Methods of analysis of time series, trends are described, examples of data analysis taking into account seasonality are given. Separate chapters are devoted to cohort analysis, textual analysis, identification and processing of anomalies, analysis of experimental results and AV testing.