Course Content
Welcome to MKTG 3850 - Marketing Analytics - at Otterbein University. In this course, we will learn how to select an analytical tool, apply it to a problem or issue, and communicate our conclusions. The required textbook remains Marketing Research by Don Lehmann, Sunil Gupta, and Joel Steckel. Other textbooks and websites exist.
You should find resources that aid in your understanding and with your learning.
The NFL homework dataset and other datasets used in-class can be accessed by clicking on this link.
The Dunnhumby dataset and mini case, and the dataset and case for the final can be accessed by clicking on this link. The folder contains the case, the assignment, and the datasets.
The homework and topics can be viewed by clicking on this link. For the homework, a few datasets are available. More can be found through this curated list.
The required readings can be downloaded by clicking on this link.
The course syllabus is available by clicking this link.
You should find resources that aid in your understanding and with your learning.
The NFL homework dataset and other datasets used in-class can be accessed by clicking on this link.
The Dunnhumby dataset and mini case, and the dataset and case for the final can be accessed by clicking on this link. The folder contains the case, the assignment, and the datasets.
The homework and topics can be viewed by clicking on this link. For the homework, a few datasets are available. More can be found through this curated list.
The required readings can be downloaded by clicking on this link.
The course syllabus is available by clicking this link.
Helpful Content
Additional resources devoted to: Students are strongly encouraged to consult these resources to help them succeed in the course.
Description & Objective
The primary objective of this course is to introduce you to data analysis techniques. These techniques include cross tabulations, t-test and ANOVA, correlation and regression, cluster analysis, as well as factor analysis. If time permits, we will review conjoint analysis.
Although a variety of analytical techniques are available, the selected techniques represent tools used most frequently by marketing and management professionals. The tools that you learn in the course go beyond simple data descriptors such as mean, median, mode, and variance. Such descriptors serve as a starting point for us to explore the data set. Techniques learned in this course will allow you to make a more informed decision and recommendation.
Data analysis represents a critical thinking tool. As consumers of knowledge, you will need to assess whether you have good or not so good knowledge. By understanding data analysis, you can assess whether the analysis is appropriate and, therefore, whether you have good knowledge.
Although a variety of analytical techniques are available, the selected techniques represent tools used most frequently by marketing and management professionals. The tools that you learn in the course go beyond simple data descriptors such as mean, median, mode, and variance. Such descriptors serve as a starting point for us to explore the data set. Techniques learned in this course will allow you to make a more informed decision and recommendation.
Data analysis represents a critical thinking tool. As consumers of knowledge, you will need to assess whether you have good or not so good knowledge. By understanding data analysis, you can assess whether the analysis is appropriate and, therefore, whether you have good knowledge.
