3 classes matched your search criteria.

Fall 2019  |  MKTG 3005 Section 001: Introduction to Applying Analytical Tools for Solving Business Problems (22828)

Instructor(s)
Class Component:
Lecture
Credits:
2 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
First Half of Term
 
09/03/2019 - 10/21/2019
Mon, Wed 11:50AM - 01:30PM
UMTC, West Bank
Carlson School of Management 1-135
Enrollment Status:
Closed (48 of 48 seats filled)
Also Offered:
Course Catalog Description:
The ability to make intelligent business decisions based on large data and information is becoming increasingly important for businesses and managers. This course provides a practitioner-oriented introduction of applying analytical tools in business setting. This class entails hands-on computer exercises on real data sets to apply various analytical techniques in common business applications. This course assumes that students have knowledge of fundamental analytical tools and statistical methods. The class emphasizes understanding model assumptions to help students with appropriate model selection; interpreting results in order to make optimal business decisions; designing experiments in a business setting and analyzing the experimental data to advance business objectives. prereq: SCO 2550 or equivalent statistics course
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22828/1199

Fall 2019  |  MKTG 3005 Section 002: Introduction to Applying Analytical Tools for Solving Business Problems (22860)

Instructor(s)
Class Component:
Lecture
Credits:
2 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
First Half of Term
 
09/03/2019 - 10/21/2019
Mon, Wed 01:45PM - 03:25PM
UMTC, West Bank
Carlson School of Management 1-135
Enrollment Status:
Closed (48 of 48 seats filled)
Also Offered:
Course Catalog Description:
The ability to make intelligent business decisions based on large data and information is becoming increasingly important for businesses and managers. This course provides a practitioner-oriented introduction of applying analytical tools in business setting. This class entails hands-on computer exercises on real data sets to apply various analytical techniques in common business applications. This course assumes that students have knowledge of fundamental analytical tools and statistical methods. The class emphasizes understanding model assumptions to help students with appropriate model selection; interpreting results in order to make optimal business decisions; designing experiments in a business setting and analyzing the experimental data to advance business objectives. prereq: SCO 2550 or equivalent statistics course
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22860/1199

Fall 2019  |  MKTG 3005 Section 003: Introduction to Applying Analytical Tools for Solving Business Problems (22930)

Instructor(s)
Class Component:
Lecture
Credits:
2 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
First Half of Term
 
09/03/2019 - 10/21/2019
Mon, Wed 03:45PM - 05:25PM
UMTC, West Bank
Carlson School of Management 2-224
Enrollment Status:
Open (45 of 48 seats filled)
Also Offered:
Course Catalog Description:
The ability to make intelligent business decisions based on large data and information is becoming increasingly important for businesses and managers. This course provides a practitioner-oriented introduction of applying analytical tools in business setting. This class entails hands-on computer exercises on real data sets to apply various analytical techniques in common business applications. This course assumes that students have knowledge of fundamental analytical tools and statistical methods. The class emphasizes understanding model assumptions to help students with appropriate model selection; interpreting results in order to make optimal business decisions; designing experiments in a business setting and analyzing the experimental data to advance business objectives. prereq: SCO 2550 or equivalent statistics course
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/22930/1199

ClassInfo Links - Fall 2019 Marketing Classes Taught by Yi Zhu

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