7 classes matched your search criteria.
BA 2551 is also offered in Spring 2025
BA 2551 is also offered in Fall 2024
BA 2551 is also offered in Spring 2024
BA 2551 is also offered in Fall 2023
BA 2551 is also offered in Spring 2023
BA 2551 is also offered in Fall 2022
Fall 2023 | BA 2551 Section 001: Business Statistics in R (22953)
- Instructor(s)
- 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 Session09/05/2023 - 12/13/2023Mon, Wed 08:00AM - 09:40AMUMTC, West BankCarlson School of Management L-110
- Enrollment Status:
- Open (109 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/22953/1239
Fall 2023 | BA 2551 Section 002: Business Statistics in R (22954)
- Instructor(s)
- 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 Session09/05/2023 - 12/13/2023Mon, Wed 10:10AM - 11:50AMUMTC, West BankCarlson School of Management L-110
- Enrollment Status:
- Closed (111 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/22954/1239
Fall 2023 | BA 2551 Section 003: Business Statistics in R (22955)
- Instructor(s)
- 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 Session09/05/2023 - 12/13/2023Mon, Wed 12:20PM - 02:00PMUMTC, West BankCarlson School of Management L-110
- Enrollment Status:
- Closed (110 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/22955/1239
Fall 2023 | BA 2551 Section 004: Business Statistics in R (22956)
- Instructor(s)
- 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 Session09/05/2023 - 12/13/2023Mon, Wed 02:30PM - 04:10PMUMTC, West BankCarlson School of Management L-110
- Enrollment Status:
- Open (93 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/22956/1239
Fall 2023 | BA 2551 Section 006: Business Statistics in R (22958)
- Instructor(s)
- 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 Session09/05/2023 - 12/13/2023Tue, Thu 12:20PM - 02:00PMUMTC, West BankCarlson School of Management L-110
- Enrollment Status:
- Open (92 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/22958/1239
Fall 2023 | BA 2551 Section 007: Business Statistics in R (22959)
- Instructor(s)
- 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 Session09/05/2023 - 12/13/2023Mon, Wed 04:40PM - 06:20PMUMTC, West BankCarlson School of Management L-110
- Enrollment Status:
- Open (116 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/22959/1239
Fall 2023 | BA 2551 Section 008: Business Statistics in R (22960)
- Instructor(s)
- 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 Session09/05/2023 - 12/13/2023Tue, Thu 04:40PM - 06:20PMUMTC, West BankCarlson School of Management L-110
- Enrollment Status:
- Open (114 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/22960/1239
ClassInfo Links - Fall 2023 Business Administration Classes
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If you have questions about specific courses, we strongly encourage you to contact the department where the course resides.