2 classes matched your search criteria.

Spring 2024  |  PA 5929 Section 001: Data Visualization: Telling Stories with Numbers (57218)

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 Term
 
01/16/2024 - 03/11/2024
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
 
02/03/2024
Sat 01:00PM - 04:00PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (31 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/?dorelien+PA5929+Spring2024
Class Description:
The class will have a practical approach, combining discussion and practical exercises. The course is designed to be like a walk-through, starting from collecting and organizing data and ending with advanced graph designs.

The course in the spring will use Excel and Tableau. There will be additional modules available for more advance Excel users and those who want to go beyond the basics in Tableau. I will not teach R as part of the class but will make available the R modules and handouts for students that are interested in learning R.
Learning Objectives:
Learn to make better tables- see example below
ClearOffTheTableMd
Learn to make better figures
Grading:
Please note that it is possible to audit the course or take the course S/N. I encourage students that are already taking a full load of classes to sign up for this class S/N, that way you can focus on learning the material and not on the letter grade.

4 Problem Sets (each problem set is worth 15% of final grade). The problem sets will be due one week after being assigned and will need to be uploaded to Canvas before the start of class.
If you are satisfied with your grades from the first 3 assignments, you do not have to turn in assignment 4. If you are not, you should turn in assignment 4 and I will drop the lowest of your assignment grades.
1 Final Report (40% of final grade)
Class Format:
Meets twice a week for first half the semester. The majority of class time is spent doing in-class exercises. There is one Saturday virtual session, in which we hold a Tableau Workshop.
Workload:
There are 4 problem sets and a final memo. The highest 3 Problem Set Grades make up your final PS grades.
Textbooks:
https://bookstores.umn.edu/course-lookup/57218/1243
Past Syllabi:
http://classinfo.umn.edu/syllabi/dorelien_PA5929_Spring2019.pdf (Spring 2019)
Instructor Supplied Information Last Updated:
1 November 2023

Spring 2024  |  PA 5929 Section 002: Data Visualization: Telling Stories with Numbers (65722)

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:
Second Half of Term
 
03/12/2024 - 04/29/2024
Tue, Thu 04:00PM - 05:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
 
04/06/2024
Sat 01:00PM - 04:00PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (27 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:
Saturday session moved to 4/6/24 (from 3/30/24). http://classinfo.umn.edu/?dorelien+PA5929+Spring2024
Class Description:
The class will have a practical approach, combining discussion and practical exercises. The course is designed to be like a walk-through, starting from collecting and organizing data and ending with advanced graph designs.

The course in the spring will use Excel and Tableau. There will be additional modules available for more advance Excel users and those who want to go beyond the basics in Tableau. I will not teach R as part of the class but will make available the R modules and handouts for students that are interested in learning R.
Learning Objectives:
Learn to make better tables- see example below
ClearOffTheTableMd
Learn to make better figures
Grading:
Please note that it is possible to audit the course or take the course S/N. I encourage students that are already taking a full load of classes to sign up for this class S/N, that way you can focus on learning the material and not on the letter grade.

4 Problem Sets (each problem set is worth 15% of final grade). The problem sets will be due one week after being assigned and will need to be uploaded to Canvas before the start of class.
If you are satisfied with your grades from the first 3 assignments, you do not have to turn in assignment 4. If you are not, you should turn in assignment 4 and I will drop the lowest of your assignment grades.
1 Final Report (40% of final grade)
Class Format:
Meets twice a week for first half the semester. The majority of class time is spent doing in-class exercises. There is one Saturday virtual session, in which we hold a Tableau Workshop.
Workload:
There are 4 problem sets and a final memo. The highest 3 Problem Set Grades make up your final PS grades.
Textbooks:
https://bookstores.umn.edu/course-lookup/65722/1243
Past Syllabi:
http://classinfo.umn.edu/syllabi/dorelien_PA5929_Spring2019.pdf (Spring 2019)
Instructor Supplied Information Last Updated:
1 November 2023

ClassInfo Links - Spring 2024 Public Affairs Classes Taught by Audrey Dorelien

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