Quantitative Marketing Models course
The ICARE – International Center for Agribusiness Research and Education invites you to participate in Quantitative Marketing Models course. The course will be taught by Aramayis Dallakyan and Lusine Tadevosyan.
Participants are expected to get fully involved in the course by attending classes, submitting complete homework assignments, and passing exams. After successfully finishing the course (i.e., getting at least 60%), participants will get Certificate of Completion.
During this course, participants will be introduced to the recent marketing models. The software R will be used to implement data analysis. The objective of the course is to enable participants to (a) understand the fundamental aspects of the marketing models and (b) gain expertise in setting up a model in an applied context and interpret the results. The main topics of the course are following:
- Supervised Learning
- Linear Regression
- Regression Trees and Random Forest
- Logistic Regression
- Conjoint Analysis and Willingness to pay
- Classification Trees and Random Forest
- Unsupervised Learning
- Principal Components and Factor Analysis
- Cluster Analysis
- Market Basket Analysis.
After completing the course, participants will be able to:
- Understand the main concept in data analysis.
- Differentiate the data types and manage to use appropriate methods.
- Build basic understanding of supervised and unsupervised learning.
- Discuss and report the findings.
Ms. Lusine Tadevosyan is currently working as a research director at the ICARE foundation. Currently she is managing several research and development projects, including USAID funded Sustainable Fisheries for Enhanced Water Resources in Armenia (Partnerships for Enhanced Engagement in Research) scientific/research project.
L. Tadevosyan holds a Master’s degree in Agricultural Economics from the Armenian National Agrarian University and received a graduate certificate in Agribusiness from Texas A&M University upon successful completion of Master of Agribusiness (MAB) program of ICARE/ATC. She has more than 10 years of working experience in agricultural research and development, business advisory and consulting sector, including 6 year experience in project management. She is an author of several publications in peer- reviewed academic journals.
Mr. Dallakyan is a Ph.D. student and Instructor in Statistics at Texas A&M University. His current research interest is in Statistical Machine Learning, high dimensional time series and Graphical Models. He holds a master’s degree in Agribusiness from the Agribusiness Teaching Center (ATC) and bachelor degree in Engineering from the State Engineering University of Armenia (SEUA). He co-authored the article “The Use of Time-Series Analysis in Examining Food Safety Issues”, which was recognized as an outstanding research paper by the Food Distribution Research Society. He is a member of American Statistical Association and Statistical Graduate Student Association at Texas A&M University. Along with the research, he is teaching quantitative courses such as Principles of Statistics and Statistical Methods.
June 11 and 13, 2019 from 18:30 to 19:45
Starting June 15, on Saturdays from 9:00 am to 11:45 am
The course will last 2 months.
Venue – International Center for Agribusiness Research and Education (ICARE). Address: 74 Teryan Str., 0009 Yerevan
Time – 9:00am – 11:45am, Yerevan time
Working language – English
Prerequisite – Statistics
participation fee – 90,000 AMD
Registration procedure and deadline
If interested, please send your CV to firstname.lastname@example.org. Registration deadline is 18:00 pm, June 9. Contacts
If you have questions, please contact 091 90 14 78.