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Catalog Description
This course teaches students how data is used in decision making, how to work (wrangle) with the data such that it can be visualized and analyzed, how to design and build alternative visualizations (e.g., graphs), and how users perceive and interact with different data visualizations. Students benefit by understanding the underlying theory, and developing their ability to make better visualizations.
Instructor Description
This course offers students in Information Science a comprehensive exploration into the theories, techniques, and tools of data visualization. It is designed to equip students with the skills to effectively communicate complex information visually, enabling data analysis and decision-making. Through a combination of lectures, hands-on projects, and case studies, students will learn how to design and implement effective and aesthetically appealing data visualizations for a variety of data types and audiences. Upon successful completion of this course, students will be able to: • Understand the principles and psychology of visual perception and how they influence data visualization. • Critically evaluate the effectiveness of different data visualization techniques for varying data types and user needs. • Master the use of leading data visualization tools and libraries such as D3.js, or Tableau. • Develop interactive dashboards and reports that effectively communicate findings to both technical and non-technical audiences. • Apply design principles to create visually appealing, accurate, and accessible data visualizations.
This course teaches students how data is used in decision making, how to work (wrangle) with the data such that it can be visualized and analyzed, how to design and build alternative visualizations (e.g., graphs), and how users perceive and interact with different data visualizations. Students benefit by understanding the underlying theory, and developing their ability to make better visualizations.
This course will teach students to understand data visualization approaches in: “conceptual visualization,” “scientific visualization,” and “visual analytics systems.” Students will learn the fundaments of human perception, color theory, and data-wrangling skills. After this course, students will: 1. understand the best practices for data visualization 2. develop their skills to visualize data using different types of graphs 3. develop their skills to create dashboards and impactful presentations using technologies such as Tableau, and D3. 4. develop their skills for implementing data visualizations that support decision-making
Restricted to undergraduate Informatics majors through registration period 1. Informatics minors may add classes and join waitlists beginning in period 2. Outside students will be permitted to join our waitlists beginning with period 3.