The document outlines different types of data visualization techniques used in data science to aid understanding and analysis of data. Key methods mentioned include line charts, bar charts, pie charts, scatter plots, heatmaps, and others, each serving specific purposes for representing data relationships and distributions. Data visualization is essential for interpreting complex data trends and patterns effectively.