The course is essential for understanding complex data in various fields, such as economics and social sciences. It begins by presenting methods for representing and describing statistical data, using graphs and tables to make information easier to interpret. Next, it introduces fundamental statistical concepts essential for accurate analysis. Data collection and primary processing are critical stages, where raw data is gathered and organized for analysis. Descriptive measures, such as mean, median, and standard deviation, are used to summarize datasets and provide an overview of trends. Time series analysis helps understand the evolution of phenomena over time, while studying correlations reveals relationships between economic and social phenomena, supporting informed decision-making in policy and business.