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Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of International Trade and Logistics (English)
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
04981002 Marketing Analytics 4 Spring 8 3+0+0 5 5
Course Type Elective
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language English
Methods and Techniques Presentation, discussion
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Mehmet Akif GÜNDÜZ
Instructor Assistant(s) -
Course Content
The Marketing Analytics course provides a comprehensive overview of the essential tools, techniques, and applications of data analytics in marketing.
Objectives of the Course
The objective of the Marketing Analytics course is to equip students with the skills and knowledge necessary to analyze and interpret marketing data to make informed decisions. This course aims to provide a comprehensive understanding of the tools and techniques used in marketing analytics, including data collection, data analysis, and the application of analytical methods to real-world marketing problems. Students will learn to use various analytical software and tools to gather insights from large datasets, develop data-driven marketing strategies, and measure the effectiveness of marketing campaigns. By the end of the course, students will be proficient in identifying key performance indicators, conducting predictive analyses, and creating visualizations to communicate findings effectively. Through hands-on projects and case studies, students will gain practical experience in leveraging data to drive marketing decisions, preparing them for successful careers in the increasingly data-driven field of marketing.
Contribution of the Course to Field Teaching
Basic Vocational Courses
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P14 To be able to have strategic management skills to make suggestions on issues such as goals, objectives, mission, vision, target market, positioning, business portfolio design, market and marketing performance measurement related to the organization and to make medium and long-term plans related to these suggestions. 5
P12 To be able to act with moral values and professional responsibility. 5
P9 To be able to have the competence to conduct market and marketing research. 5
P2 To be able to conduct scientific research in the field of International Trade and Logistics, including problem identification, data collection, analysis and reporting processes, and to be able to transfer the findings in written and oral form. 5
Weekly Detailed Course Contents
Week Topics
1 Introduction to Marketing Analytics
2 Data Collection and Management
3 Descriptive Analytics
4 Predictive Analytics
5 Customer Analytics
6 Churn Prediction and Retention Strategies
7 Marketing Mix Modeling
8 Digital Marketing Analytics
9 Text and Sentiment Analysis
10 Introduction to Advanced Analytics Techniques
11 Data Visualization and Reporting
12 Ethics and Privacy in Marketing Analytics
13 Case Studies and Practical Applications
14 Course Review and Future Trends
Textbook or Material
Resources Marketing Analytics Essential Tools for Data-Driven Decisions, Rajkumar Venkatesan, Paul W. Farris, and Ronald T. Wilcox, University of Virginia
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Laboratory - -
Practice - -
Field Study - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Seminar - -
Quiz - -
Listening - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 3 42
Midterms 1 20 20
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 25 25
Other 0 0 0
Total Work Load: 129
Total Work Load / 30 4,30
Course ECTS Credits: 4