6 classes matched your search criteria.

Spring 2025  |  PA 5928 Section 001: Data Management and Visualization with R (56952)

Instructor(s)
Class Component:
Laboratory
Credits:
1.5 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
MDP/MHR/MPA/MPP/MS-STEP/MURP/Ph.D.-Public Affairs
Times and Locations:
Second Half of Term
 
03/18/2025 - 05/05/2025
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (0 of 30 seats filled)
Also Offered:
Course Catalog Description:
Introduction to R Studio software. Use of R Studio to carry out R file and related database management functions. Tools and techniques for data analysis and statistical programming in quantitative research or related applied areas. Topics include data selection, data manipulation, and data and spatial visualization (including charts, plots, histograms, maps, and other graphs). Prerequisite knowledge: Introductory statistics; ability to create bar graphs, line graphs, and scatter plots in MS Excel; and familiarity with principles of data visualization.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/56952/1253

Spring 2024  |  PA 5928 Section 001: Data Management and Visualization with R (57249)

Instructor(s)
Class Component:
Laboratory
Credits:
1.5 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
MDP/MHR/MPA/MPP/MS-STEP/MURP/Ph.D.-Public Affairs
Times and Locations:
First Half of Term
 
01/16/2024 - 03/11/2024
Wed 05:30PM - 08:15PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (8 of 30 seats filled)
Also Offered:
Course Catalog Description:
Introduction to R Studio software. Use of R Studio to carry out R file and related database management functions. Tools and techniques for data analysis and statistical programming in quantitative research or related applied areas. Topics include data selection, data manipulation, and data and spatial visualization (including charts, plots, histograms, maps, and other graphs). Prerequisite knowledge: Introductory statistics; ability to create bar graphs, line graphs, and scatter plots in MS Excel; and familiarity with principles of data visualization.
Class Notes:
http://classinfo.umn.edu/?mayer443+PA5928+Spring2024
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/57249/1243

Spring 2023  |  PA 5928 Section 001: Data Management and Visualization with R (57639)

Instructor(s)
Class Component:
Laboratory
Credits:
1.5 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
MDP/MHR/MPA/MPP/MS-STEP/MURP/Ph.D.-Public Affairs
Times and Locations:
Second Half of Term
 
03/14/2023 - 05/01/2023
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (30 of 33 seats filled)
Also Offered:
Course Catalog Description:
Introduction to R Studio software. Use of R Studio to carry out R file and related database management functions. Tools and techniques for data analysis and statistical programming in quantitative research or related applied areas. Topics include data selection, data manipulation, and data and spatial visualization (including charts, plots, histograms, maps, and other graphs). Prerequisite knowledge: Introductory statistics; ability to create bar graphs, line graphs, and scatter plots in MS Excel; and familiarity with principles of data visualization.
Class Notes:
http://classinfo.umn.edu/?mayer443+PA5928+Spring2023
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/57639/1233

Spring 2022  |  PA 5928 Section 001: Data Management and Visualization with R (66650)

Instructor(s)
Class Component:
Laboratory
Credits:
1 Credit
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Enrollment Requirements:
MDP/MHR/MPA/MPP/MS-STEP/MURP/Ph.D.-Public Affairs
Times and Locations:
Second Half of Term
 
03/15/2022 - 05/02/2022
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (23 of 30 seats filled)
Also Offered:
Course Catalog Description:
Introduction to R Studio software. Use of R Studio to carry out R file and related database management functions. Tools and techniques for data analysis and statistical programming in quantitative research or related applied areas. Topics include data selection, data manipulation, and data and spatial visualization (including charts, plots, histograms, maps, and other graphs). Prerequisite knowledge: Introductory statistics; ability to create bar graphs, line graphs, and scatter plots in MS Excel; and familiarity with principles of data visualization.
Class Notes:
http://classinfo.umn.edu/?taotao+PA5928+Spring2022
Class Description:
This course is intended for students who are looking to improve their data analysis (including data management and visualization) skills with R programming language. The emphasis of the course will be on learning tools and techniques which are useful to students who will be doing data analysis and/or statistical programming in quantitative research or related applied areas.

Learning Objectives:

1. Use RStudio to carry out R file and related database management

2. Use R to work with different types of databases and conduct basic data management

3. Use R to visualize data with different types of plots

4. Use R to carry out exploratory data analysis

Class Format:

Textbooks:
https://bookstores.umn.edu/course-lookup/66650/1223
Syllabus:
http://classinfo.umn.edu/syllabi/taotao_PA5928_Spring2022.docx
Past Syllabi:
http://classinfo.umn.edu/syllabi/taotao_PA5928_Fall2019.docx (Fall 2019)
Instructor Supplied Information Last Updated:
1 December 2021

Spring 2021  |  PA 5928 Section 001: Data Management and Visualization with R (65618)

Instructor(s)
Class Component:
Laboratory
Credits:
1 Credit
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Online Course
Enrollment Requirements:
MDP/MHR/MPA/MPP/MS-STEP/MURP/Ph.D.-Public Affairs
Times and Locations:
Second Half of Term
 
03/09/2021 - 05/03/2021
Tue, Thu 02:30PM - 03:45PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (19 of 30 seats filled)
Also Offered:
Course Catalog Description:
Introduction to R Studio software. Use of R Studio to carry out R file and related database management functions. Tools and techniques for data analysis and statistical programming in quantitative research or related applied areas. Topics include data selection, data manipulation, and data and spatial visualization (including charts, plots, histograms, maps, and other graphs). Prerequisite knowledge: Introductory statistics; ability to create bar graphs, line graphs, and scatter plots in MS Excel; and familiarity with principles of data visualization.
Class Notes:
Class will be offered REMOTELY. Class will meet synchronously-online during Spring 2021 during the scheduled time. http://classinfo.umn.edu/?taotao+PA5928+Spring2021
Class Description:
This course is intended for students who are looking to improve their data analysis (including data management and visualization) skills with R programming language. The emphasis of the course will be on learning tools and techniques which are useful to students who will be doing data analysis and/or statistical programming in quantitative research or related applied areas.

Learning Objectives:

1. Use R Studio to carry out R file and related database management

2. Use R to work with different types of databases and conduct basic data management

3. Use R to visualize data with different types of plots

Class Format:
Meets once a week for ten weeks of the semester. About half of the class time is spent in lecture and the remaining for doing in-class exercise.

Workload:
An in-class exercise will be assigned during each class for the students to practice what they have learned (each exercise is worth 6% of final grade);
Students will use the knowledge from this course to complete a final project (data analysis for an interested research question and write a short report which is no more than five pages about it, 30% of final grade).
Textbooks:
https://bookstores.umn.edu/course-lookup/65618/1213
Past Syllabi:
http://classinfo.umn.edu/syllabi/taotao_PA5928_Spring2022.docx (Spring 2022)
http://classinfo.umn.edu/syllabi/taotao_PA5928_Fall2019.docx (Fall 2019)
Instructor Supplied Information Last Updated:
6 June 2019

Fall 2019  |  PA 5928 Section 001: Data Management and Visualization with R (34973)

Instructor(s)
Class Component:
Laboratory
Credits:
1 Credit
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
10/08/2019 - 12/11/2019
Tue 09:45AM - 11:00AM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Open (21 of 29 seats filled)
Also Offered:
Course Catalog Description:
Introduction to R Studio software. Use of R Studio to carry out R file and related database management functions. Tools and techniques for data analysis and statistical programming in quantitative research or related applied areas. Topics include data selection, data manipulation, and data and spatial visualization (including charts, plots, histograms, maps, and other graphs). Prerequisite knowledge: Introductory statistics; ability to create bar graphs, line graphs, and scatter plots in MS Excel; and familiarity with principles of data visualization.
Class Notes:
http://classinfo.umn.edu/?taotao+PA5928+Fall2019
Class Description:
This course is intended for students who are looking to improve their data analysis (including data management and visualization) skills with R programming language. The emphasis of the course will be on learning tools and techniques which are useful to students who will be doing data analysis and/or statistical programming in quantitative research or related applied areas.

Learning Objectives:

1. Use R Studio to carry out R file and related database management

2. Use R to work with different types of databases and conduct basic data management

3. Use R to visualize data with different types of plots

Class Format:
Meets once a week for ten weeks of the semester. About half of the class time is spent in lecture and the remaining for doing in-class exercise.

Workload:
An in-class exercise will be assigned during each class for the students to practice what they have learned (each exercise is worth 6% of final grade);
Students will use the knowledge from this course to complete a final project (data analysis for an interested research question and write a short report which is no more than five pages about it, 30% of final grade).
Textbooks:
https://bookstores.umn.edu/course-lookup/34973/1199
Syllabus:
http://classinfo.umn.edu/syllabi/taotao_PA5928_Fall2019.docx
Past Syllabi:
http://classinfo.umn.edu/syllabi/taotao_PA5928_Spring2022.docx (Spring 2022)
Instructor Supplied Information Last Updated:
6 June 2019

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