CS642 | Data Visualization is a practical and industry-focused course that introduces students to the concepts, tools, and techniques used to transform raw data into meaningful visual insights. The course covers data representation, chart design principles, dashboards, storytelling with data, and modern visualization tools such as Tableau, Power BI, Python Matplotlib, Seaborn, and interactive web-based visualization libraries.
Students will learn how to analyze datasets, identify patterns, and communicate information effectively using compelling visual elements. Through hands-on projects and real-world case studies, learners will develop the ability to create professional dashboards and data-driven reports for business intelligence and analytics applications.
Course Outcomes
Understand the fundamentals of data visualization and visual analytics.
Interpret and present complex datasets using effective visual techniques.
Create charts, graphs, and dashboards using visualization tools.
Apply design principles for clear and impactful data presentation.
Use Python libraries such as Matplotlib and Seaborn for visualization.
Build interactive dashboards using Tableau or Power BI.
Analyze trends, patterns, and insights from large datasets.
Implement data storytelling techniques for decision-making.
Work with real-world datasets for business and research applications.
Develop interactive and responsive visual reports.
Evaluate visualization effectiveness and user experience.
Create professional data visualization projects confidently.
