Introduction to Data Visualization, Part 2

Catalog description

This course continues from BDA103A with a comprehensive introduction to the intriguing world of data visualization. The course primarily focuses on the concepts and techniques essential for transforming raw data into insightful visual narratives. Students will gain foundational understanding of the different types of data, how to choose the most appropriate charts and graphs to represent them, and the tools and techniques used to create these visualizations. The exploration starts with the basics of analytics and data visualization, and then ventures into the principles of design and color theory that can enhance the clarity and impact of visual presentations. We delve into pre- attentive attributes, Gestalt principles, and decluttering techniques that make visualizations more effective and easier to interpret. As we progress, we explore how to utilize color effectively to heighten visual impact and improve interpretability. We also delve into advanced techniques to visualize variability and uncertainty in data, drawing on statistical measures and specialized charts. At the end of the course, students will not only be able to create striking and effective data visualizations but also appreciate the importance of design decisions in conveying clear, persuasive data stories. They will have the knowledge and skills to avo id common pitfalls in visualization design and to choose appropriate visualizations for various types of data and analytical goals.