2 classes matched your search criteria.
PA 5929 is also offered in Spring 2025
PA 5929 is also offered in Fall 2024
PA 5929 is also offered in Spring 2024
PA 5929 is also offered in Fall 2023
PA 5929 is also offered in Spring 2023
PA 5929 is also offered in Fall 2022
PA 5929 is also offered in Spring 2022
PA 5929 is also offered in Fall 2021
Spring 2023 | PA 5929 Section 001: Data Visualization: Telling Stories with Numbers (57593)
- Instructor(s)
- Class Component:
- Laboratory
- Credits:
- 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:
- First Half of Term01/17/2023 - 03/13/2023Tue, Thu 02:30PM - 03:45PMUMTC, West BankHubert H Humphrey Center 8502/04/2023Sat 01:00PM - 04:00PMUMTC, West BankHubert H Humphrey Center 85
- Enrollment Status:
- Closed (32 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:
- http://classinfo.umn.edu/?maas0021+PA5929+Spring2023
- 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.
- Grading:
- 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.
- Workload:
- 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.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/57593/1233
- 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
Spring 2023 | PA 5929 Section 002: Data Visualization: Telling Stories with Numbers (57597)
- Instructor(s)
- Class Component:
- Laboratory
- Credits:
- 2 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
- Online Course
- Enrollment Requirements:
- Graduate Student
- Times and Locations:
- Second Half of Term03/14/2023 - 05/01/2023Tue, Thu 04:00PM - 05:15PMOff CampusUMN REMOTE04/01/2023Sat 01:00PM - 04:00PMOff CampusUMN REMOTE
- Enrollment Status:
- Closed (36 of 36 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:
- This class will be held REMOTELY (synchronously online). HHH 85 will be available for students to use, if desired http://classinfo.umn.edu/?maas0021+PA5929+Spring2023
- 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.
- Grading:
- 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.
- Workload:
- 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.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/57597/1233
- 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
ClassInfo Links - Spring 2023 Public Affairs Classes Taught by Geoffrey Maas
- To link directly to this ClassInfo page from your website or to save it as a bookmark, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5929&x500=maas0021&term=1233
- To see a URL-only list for use in the Faculty Center URL fields, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5929&x500=maas0021&term=1233&url=1
- To see this page output as XML, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5929&x500=maas0021&term=1233&xml=1
- To see this page output as JSON, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5929&x500=maas0021&term=1233&json=1
- To see this page output as CSV, use:
- http://classinfo.umn.edu/?subject=PA&catalog_nbr=5929&x500=maas0021&term=1233&csv=1
ClassInfo created and maintained by the Humphrey School of Public Affairs.
If you have questions about specific courses, we strongly encourage you to contact the department where the course resides.