School of Information Studies
Page tree

Versions Compared


  • This line was added.
  • This line was removed.
  • Formatting was changed.


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.




IST 687 or equivalent programming courses (Python, Java, SQL, C, C++, etc.)

Professor of Record

Jeff Hemsley

Course Syllabus

(Show as attachment or a link to One-drive)

This syllabus applies to all sections of this course.


There are multiple sections of this course.  Each section has its own syllabus.

List the sections here as embedded links to OneDrive

Course Details

Place any information – if none, delete this section

What should be here: 

how often this course if offered



Students interested in data analytics and data science, with a focus on data/information visualization.

Learning Objectives

After taking this course, students will be able to: 

  1. Perform basic data cleaning and preparation on a wide range of data sets using R.
  2. Identify stories in data sets through visual data exploration.
  3. Create rich visual artefacts that communicate data stories.

Course Syllabus

IST 719 Fall 2020 Syllabus- Hemsley, Jeff


Other iSchool Courses

Children Display
pageiSchool Graduate Courses