Fall 2023  |  PA 5929 Section 001: Data Visualization: Telling Stories with Numbers (23342)

Class Component:
2 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
Online Course
Enrollment Requirements:
Graduate Student
Times and Locations:
Regular Academic Session
09/05/2023 - 12/13/2023
Wed 04:00PM - 05:40PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Closed (33 of 32 seats filled)
Also Offered:
Course Catalog Description:
Tools for communicating quantitative information in an intelligent, effective and persuasive way. Topics covered include 1) writing and speaking about data; 2) data management in Excel in order to prepare data for charting; 3) understanding and ability to deploy core concepts in of design, layout, typography and color to maximize the impact of their data visualizations 4) determining which types of statistical measures are most effective for each type of data and message; 5) determining which types of design to use for communicating quantitative information; and 6) designing graphs and tables that are intelligent and compelling for communicating quantitative information.
Class Notes:
Class Description:
This course will teach students how to organize and present data in the most effective way. Lectures will explore theories and elements of graphs and tables design, more specifically with how to create and organize tables and data. The central goal is to provide students with the tools for communicating information in an intelligent, effective and persuasive way.
Who Should Take This Class?:
Students interested in efficiently and effectively communicating data visually.
Learning Objectives:
Develop a firm understanding of the role of design, color, composition, type and statistical rigor in effectively communicating data visually.
15% class attendance and completion of in-class exercises
70% series of six assignments
15% final project
Exam Format:
No exams
Class Format:
This class will combine lecture, in-class critique of data visualization approaches and discussion, and practical lab exercises and assignments. Classes will begin with a lecture to introduce topics to be explored and discussed. Hands-on work with the software will also be emphasized to allow students to complete the assignments and relate their skills to their own research interests.
Weekly lectures including critique of data visualizations, in-class labs each week to help students gain familiarity with the tools and weekly assignments. Students will work with and become familiar with the core visualization functions in Microsoft Excel, Adobe Illustrator, Tableau and R.
Past Syllabi:
http://classinfo.umn.edu/syllabi/maas0021_PA5929_Fall2018.docx (Fall 2018)
http://classinfo.umn.edu/syllabi/maas0021_PA5929_Spring2018.pdf (Spring 2018)
Instructor Supplied Information Last Updated:
30 December 2019

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