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Instructor Class Description

Time Schedule:

Kellie Wills
BIS 232
Bothell Campus

Introduction to Data Visualization

Introduces descriptive statistics and visual representations of quantitative data. Examines data sets using graphing and statistical software packages. Demonstrates how to present data in ways that are accurate, effective, and visually appealing.

Class description

“Computers can’t make sense of data; only people can.” - Stephen Few

In this course, you will learn and practice skills for making sense of quantitative data. This includes learning to ask good questions about where data comes from, who presents it, and why they present it the way they do. You will also learn effective strategies for understanding and presenting your own data. Although computers can’t make sense of data, they can make it much easier for us to do so. We will use Microsoft Excel and occasionally other software tools to organize, summarize, and visualize data.

Student learning goals

Practice critical thinking about presentations of quantitative data.

Learn how and when to compute and use basic descriptive statistics, including measures of center and spread.

Learn how to use graphing software to create graphs, charts, tables and other presentations of data.

Learn how to create visual, written, and oral presentations of data that clearly demonstrate the important features, are accurate, reveal patterns, and are visually appealing.

General method of instruction

Recommended preparation

No required prerequisites.

Class assignments and grading

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Last Update by Kellie Wills
Date: 07/02/2012