A broad introduction to data visualization for information professionals. Students will develop a portfolio of resources, demonstrations, recipes, and examples of various data visualization techniques.
Introduction to skills and techniques related to information visualization, through the R programming language, Adobe illustrator. These skills include data cleaning techniques, control of the R graphics environment, develop custom plots, visually explore data, use design concepts to visually communicate the story in the data, and discuss issues related to the ethics of data visualization. Conceptual themes will be presented alongside technical aspects of data visualization. Additional work and higher grading expected of graduate students.
3.0
IST687 or IST387 with a minimum grade of B or higher. Equivalent programming courses (Python, Java, SQL, C, C++, etc.)
Jeff Hemsley
Students interested in data analytics and data science, with a focus on data/information visualization.
After taking this course, students will be able to:
IST 719 Fall 2021 Semester Syllabus - Jeff Hemsley