Introduction to data visual analytics and its use in business decision-making. Topics include business objectives of data analytics, data sources and transformation, data analysis, visualization, dashboards, and data-based decision-making. Students develop basic working knowledge of analytics and visualization through hands-on projects and exercises using software tools. The course also introduces AI-supported visual analytics activities, including automated insight generation and AI-assisted interpretation of patterns and trends. Emphasis is placed on responsibly communicating data results, evaluating AI-generated insights, and supporting managerial decision-making.