Course Outcome

• REMEMBERING: Recall the key concepts, tools, and techniques used in data visualization and storytelling in Python.
• UNDERSTANDING: Understand the importance of visualizing data effectively to communicate insights and the best practices for data visualization.
• APPLYING: Apply Python libraries for creating various types of plots and visualizations, including charts, graphs, and interactive visualizations.
• ANALYZING: Analyze datasets using appropriate visualization techniques and evaluate how visualization techniques influence data interpretation.
• EVALUATING: Evaluate the effectiveness of different types of visualizations for telling a compelling data-driven story.
• CREATING: Design and create interactive, informative, and aesthetically appealing data visualizations and stories using Python tools and libraries.