Enrollment and waitlist data for current and upcoming courses refresh every 10 minutes; all other information as of 6:00 AM.
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
| + asynchronous coursework | ||||||
Subject: Data Science (DASC)
CRN: 42876
Online: Asynchronous | Lecture
Online
Requirements Met:
Sustainability (SUST)
This course provides students who already have a solid conceptual understanding of statistics the opportunity to apply their knowledge to analyzing data using modern statistical software. Topics include data visualization, inference for one and two samples, analysis of variance, chi-square tests for goodness of fit and association, and simple and multiple linear regression. Prerequisites: DASC 111 or AP Statistics Credit. Note, students who receive credit for DASC 112 may not receive credit for DASC 120.
2 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
8:15 am |
8:15 am |
8:15 am |
||||
Subject: Data Science (DASC)
CRN: 42536
In Person | Lecture
St Paul: Owens Science Hall 150
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 100, 101, 103, 104, 105, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
9:35 am |
9:35 am |
9:35 am |
||||
Subject: Data Science (DASC)
CRN: 42878
In Person | Lecture
St Paul: John Roach Center 126
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 100, 101, 103, 104, 105, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
9:55 am |
9:55 am |
|||||
Subject: Data Science (DASC)
CRN: 42879
In Person | Lecture
St Paul: Owens Science Hall 150
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 100, 101, 103, 104, 105, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
1:30 pm |
1:30 pm |
|||||
Subject: Data Science (DASC)
CRN: 42882
In Person | Lecture
St Paul: Owens Science Hall 150
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 100, 101, 103, 104, 105, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
3:25 pm |
3:25 pm |
|||||
Subject: Data Science (DASC)
CRN: 42883
In Person | Lecture
St Paul: Owens Science Hall 150
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This course is composed of an in-depth study of the processes through which statistics can be used to learn about environments and events. There will be an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in a variety of real world contexts. Topics include data collection, research design, data visualization, sampling distributions, confidence intervals and hypothesis testing, inference for one and two samples, chi-square tests for goodness of fit and association, analysis of variance, and simple and multiple linear regression. Extensive data analysis using modern statistical software is an essential component of this course. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 100, 101, 103, 104, 105, 108, 111, or 113. NOTE: Students who receive credit for DASC 120 may not receive credit for DASC 111 or DASC 112.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
8:00 am |
||||||
Subject: Data Science (DASC)
CRN: 42884
In Person | Lab
St Paul: O'Shaughnessy Science Hall 432
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
5:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42885
In Person | Lab
St Paul: O'Shaughnessy Science Hall 432
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
5:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42886
Online: Sync Distributed | Lab
Online
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use R for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
7:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42887
Online: Sync Distributed | Lab
Online
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use R for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
7:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42888
In Person | Lab
St Paul: O'Shaughnessy Science Hall 432
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
3:25 pm |
||||||
Subject: Data Science (DASC)
CRN: 42889
In Person | Lab
St Paul: John Roach Center 426
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use JMP for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
3:25 pm |
||||||
Subject: Data Science (DASC)
CRN: 42890
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use SPSS for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
3:25 pm |
||||||
Subject: Data Science (DASC)
CRN: 42891
In Person | Lab
St Paul: O'Shaughnessy Science Hall 432
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use JMP for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
5:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42892
In Person | Lab
St Paul: O'Shaughnessy Science Hall 434
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use R for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
5:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42893
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use SPSS for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
5:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42894
In Person | Lab
St Paul: O'Shaughnessy Science Hall 432
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use JMP for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
7:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42895
In Person | Lab
St Paul: O'Shaughnessy Science Hall 434
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use R for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
8:00 am |
||||||
Subject: Data Science (DASC)
CRN: 42896
In Person | Lab
St Paul: O'Shaughnessy Science Hall 432
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
8:00 am |
||||||
Subject: Data Science (DASC)
CRN: 42897
In Person | Lab
St Paul: O'Shaughnessy Science Hall 434
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use MINITAB for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
5:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42898
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use SPSS for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
7:30 pm |
||||||
Subject: Data Science (DASC)
CRN: 42899
In Person | Lab
St Paul: O'Shaughnessy Science Hall 431
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This lab section will use SPSS for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for a DASC 120 lecture.
0 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
10:55 am |
10:55 am |
10:55 am |
||||
Subject: Data Science (DASC)
CRN: 42877
In Person | Lecture
St Paul: John Roach Center 426
This course provides students with an introduction to the field of data science. Students learn foundational skills, including basic data visualization, data wrangling, descriptive modeling techniques, and simulation-based inference. All material is grounded in contextual data examples, and consideration of data context and ethical issues is paramount. Prerequisites: Math placement at level of MATH 108 or above; or completion of MATH 006, 100, 101, 103, 104, 105, 108, 111, or 113.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
9:55 am |
9:55 am |
|||||
Subject: Data Science (DASC)
CRN: 42902
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 432
Requirements Met:
Writing in the Discipline
This course provides students with the knowledge to effectively use various forms of regression models to address problems in a variety of fields. Students learn both simple and multiple forms of linear, ordinal, nominal, and beta regression models. There is an emphasis on simultaneous inference, model selection and validation, detecting collinearity and autocorrelation, and remedial measures for model violations. Students are also introduced to the use of time series and forecasting methods. Prerequisites: Grade of C- or higher in DASC 112 or DASC 120.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
1:30 pm |
1:30 pm |
|||||
Subject: Data Science (DASC)
CRN: 42908
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 432
Requirements Met:
Writing in the Discipline
This course provides students with the knowledge to effectively use various forms of regression models to address problems in a variety of fields. Students learn both simple and multiple forms of linear, ordinal, nominal, and beta regression models. There is an emphasis on simultaneous inference, model selection and validation, detecting collinearity and autocorrelation, and remedial measures for model violations. Students are also introduced to the use of time series and forecasting methods. Prerequisites: Grade of C- or higher in DASC 112 or DASC 120.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
2:55 pm |
2:55 pm |
|||||
Subject: Data Science (DASC)
CRN: 42909
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 428
Requirements Met:
CommGood/Community-Engaged
This course will prepare students to effectively communicate the insights from data analysis. The course will cover the three main methods of communicating information about data – visually, orally, and in writing. Students will learn to tailor their communication to their audience and create publication-ready and boardroom-ready presentations of their results. Prerequisites: CISC 130 or CISC 131; and DASC 112, DASC 120, STAT 303, or STAT 314.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
9:55 am |
9:55 am |
|||||
Subject: Data Science (DASC)
CRN: 42537
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 434
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This course introduces students to advanced computational methods in statistics and data analysis that require a thorough knowledge of a programming language such as Python or R. There will be an intensive focus on investigating the correlation and covariance structure of data, including data extraction and modification, dimensionality reduction, and structural equation modeling. Prerequisites: Grades of C- or higher in CISC 130 or 131 and in MATH 109 or 112 or 113 and in DASC 240, STAT 303, STAT 314, or ECON 315.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
1:30 pm |
1:30 pm |
|||||
Subject: Data Science (DASC)
CRN: 42911
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 434
Core Requirements Met:
[Core] Quant Analysis
Other Requirements Met:
Liberal Arts Bus Minor Appr
School of Ed Transfer Course
Sustainability (SUST)
This course introduces students to advanced computational methods in statistics and data analysis that require a thorough knowledge of a programming language such as Python or R. There will be an intensive focus on investigating the correlation and covariance structure of data, including data extraction and modification, dimensionality reduction, and structural equation modeling. Prerequisites: Grades of C- or higher in CISC 130 or 131 and in MATH 109 or 112 or 113 and in DASC 240, STAT 303, STAT 314, or ECON 315.
4 Credits
| 09/04 - 12/20 | ||||||
| M | T | W | Th | F | Sa | Su |
1:35 pm |
1:35 pm |
1:35 pm |
||||
Subject: Data Science (DASC)
CRN: 42912
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 434
In this course students will learn methods for working with massive and complex data. They will explore these topics from both statistical and computational perspectives. Topics include data preparation, defining and exploring data sources, pattern discovery, cluster analysis, decision trees, regression, neural networks, memory-based reasoning, survival analysis, and genetic algorithms. Software used in the course includes, but is not limited to, JMP, Excel, Java, R, Python, and Minitab. Prerequisites: Grades of C- or higher in CISC 130 or 131 and in MATH 109 or 112 or 113 and in DASC 240, STAT 333, or ECON 315.
4 Credits