7 classes matched your search criteria.

Fall 2024  |  BA 2551 Section 001: Business Statistics in R (22645)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
A-F or Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Mon, Wed 08:00AM - 09:40AM
UMTC, West Bank
Carlson School of Management L-110
Enrollment Status:
Open (0 of 110 seats filled)
Also Offered:
Course Catalog Description:
The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]
Class Notes:
CSOM Students Only
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22645/1249

Fall 2024  |  BA 2551 Section 002: Business Statistics in R (22646)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
A-F or Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Mon, Wed 10:10AM - 11:50AM
UMTC, West Bank
Carlson School of Management 1-115
Enrollment Status:
Open (2 of 110 seats filled)
Also Offered:
Course Catalog Description:
The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]
Class Notes:
CSOM Students Only
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22646/1249

Fall 2024  |  BA 2551 Section 003: Business Statistics in R (22647)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
A-F or Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Mon, Wed 12:20PM - 02:00PM
UMTC, West Bank
Carlson School of Management 1-115
Enrollment Status:
Open (2 of 110 seats filled)
Also Offered:
Course Catalog Description:
The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]
Class Notes:
CSOM Students Only
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22647/1249

Fall 2024  |  BA 2551 Section 004: Business Statistics in R (22648)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
A-F or Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Mon, Wed 02:30PM - 04:10PM
UMTC, West Bank
Carlson School of Management 1-115
Enrollment Status:
Open (1 of 110 seats filled)
Also Offered:
Course Catalog Description:
The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]
Class Notes:
CSOM Students Only
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22648/1249

Fall 2024  |  BA 2551 Section 005: Business Statistics in R (22649)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
A-F or Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Tue, Thu 12:20PM - 02:00PM
UMTC, West Bank
Carlson School of Management L-110
Enrollment Status:
Open (0 of 110 seats filled)
Also Offered:
Course Catalog Description:
The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]
Class Notes:
CSOM Students Only
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22649/1249

Fall 2024  |  BA 2551 Section 006: Business Statistics in R (22650)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
A-F or Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Mon, Wed 04:40PM - 06:20PM
UMTC, West Bank
Carlson School of Management L-110
Enrollment Status:
Open (65 of 120 seats filled)
Also Offered:
Course Catalog Description:
The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]
Class Notes:
Non-CSOM Students Only
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22650/1249

Fall 2024  |  BA 2551 Section 007: Business Statistics in R (22651)

Instructor(s)
No instructor assigned
Class Component:
Lecture
Credits:
4 Credits
Grading Basis:
A-F or Audit
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Class Attributes:
UMNTC Liberal Education Requirement
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Tue, Thu 04:40PM - 06:20PM
UMTC, West Bank
Carlson School of Management L-110
Enrollment Status:
Open (29 of 120 seats filled)
Also Offered:
Course Catalog Description:
The purpose of the course is to develop skills for improving data-driven decision-making using statistical techniques in the powerful statistical software environment R. As an introductory statistics course, the content will include three main areas of statistics: Descriptive Statistics, Statistical Inference, and Analysis of Relationships with Scatterplots, Correlation and Linear Regression. Developing statistical literacy is increasingly important in understanding data and engaging in the complex business world. BA 2551 focuses on statistical reasoning and how to implement statistical methods in a business context using R. Topics include (but are not limited to) descriptive statistics, statistical inference, variability, sampling, distributions, correlation analysis, confidence intervals, hypothesis testing, graphical summaries of data, and introduction to linear regression. Through weekly in-class lab sessions and critical thinking assignments related to statistics in business, the course will train students to become informed consumers of numerical information and provide foundational skills in R to compute statistical procedures in future courses. We use existing packages in R as a tool to enable us to solve business problems that can leverage mathematical and statistical thinking. prereq: [Math 1031 or equiv]
Class Notes:
Non-CSOM Students Only
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22651/1249

ClassInfo Links - Fall 2024 Business Administration Classes

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