Course Description

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.

Credit(s)

3.0

Prerequisite/Co-requisite

IST687 or IST387 with a minimum grade of B or higher.   Equivalent programming courses (Python, Java, SQL, C, C++, etc.)

Professor of Record

Jeff Hemsley

Audience

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 2021 Semester Syllabus - Jeff Hemsley

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