DATA VISUALIZATION AND PRESENTATION (2 Credits)

Learning Outcomes :

On successful completion of this course, student will be able to: LO1 – Identify The core principles of data visualization, along with the tools and software commonly used to create effective visualizations, highlighting their unique features and functionalities; LO2 – Examine datasets to determine the most suitable visualization techniques for uncovering trends, patterns, and outliers; LO3 – Design Designing an industry-based data-based tool-based phase analysis process as a basis for decision-making; LO4 – Design Develop a comprehensive data presentation (dashboards) by combining multiple visualizations into a cohesive and impactful narrative, tailored to a specific audience or purpose.

Topics :

1. Introduction to Data Visualization and Presentation;
2. Principles of Data Visualization;
3. Data Type and Visualization Methods;
4. Data Preparation for Visualization;
5. Charts and Graphs: Foundations;
6. Advanced Visualization Techniques;
7. Visual Design Principles;
8. Storytelling with Data;
9. Interactive and Dynamic Visualizations;
10. Evaluating and Critiquing Visualizations;
11. Tools and Technologies;
12. Specialized Visualizations;
13. Communicating Data to Leaders.