2 classes matched your search criteria.

Spring 2020  |  PA 5929 Section 001: Data Visualization: Telling Stories with Numbers (57575)

Instructor(s)
Class Component:
Laboratory
Credits:
2 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
First Half of Term
 
01/21/2020 - 03/16/2020
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
 
02/08/2020
Sat 10:00AM - 01:00PM
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+Spring2020
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 only focus on Excel. There will be additional modules available for more advance Excel users. 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. Based on demand I might also hold an extra voluntary R session.
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 Moodle before the start of class.
1 Final Report (30% 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.
Textbooks:
https://bookstores.umn.edu/course-lookup/57575/1203
Past Syllabi:
http://classinfo.umn.edu/syllabi/dorelien_PA5929_Spring2019.pdf (Spring 2019)
Instructor Supplied Information Last Updated:
13 November 2018

Spring 2020  |  PA 5929 Section 002: Data Visualization: Telling Stories with Numbers (57589)

Instructor(s)
Class Component:
Laboratory
Credits:
2 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Second Half of Term
 
03/17/2020 - 05/04/2020
Thu 05:30PM - 08:50PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (32 of 33 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+Spring2020
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/57589/1203
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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