“Discrete Choice Modeling and Conjoint Analysis” is an online course offered at Statistics.com. Statistics.com is the leading provider of online education in statistics, and offers over 100 courses in introductory and advanced statistics. Courses typically are taught by leading experts. Some course highlights - A. Taught by renowned International Faculty (Not self-paced learning) B. Instructor led and Peer learning C. Flexible and Convenient schedule D. Practical Application and Software skills For more details please contact info@c-elt.com. Website: www.india.statistics.com

1. Online course
Discrete Choice Modeling and Conjoint Analysis
Taught by Mr. Anthony Babinec
(http://www.statistics.com/choice/)
In purchasing broadband internet service, what attributes matter to consumers? Price?
Maximum bandwidth? Average bandwidth? Uptime? What is the consumer's ideal
product? Are there consumer segments for which differential offerings could be
constructed?
This course covers statistical techniques that address questions like this. Conjoint
analysis is a marketing research technique that asks respondents to rank, rate, or
choose among multiple products or services, where each product is described using
multiple characteristics. Participants in this course will learn how to use experimental
designs to manipulate the appearance of attribute levels in product concepts. Then,
after the data are collected, participants will use statistical methods to infer how the
product attribute levels drive preference or choice. They will then be able to use the
resulting model to model how the market would choose among a set of competing
product alternatives.
Who Should Take This Course:
Market researchers and consultants, analysts studying corporate strategy.
Course Program:
Course outline: The course is structured as follows
SESSION 1: Fundamental Concepts
 Ranks, ratings, choices
 Random utility models
SESSION 2: Designing Conjoint and Choice Studies
 Samples
 Surveys
 Panel data
 Design of experiments
SESSION 3: Analysis and Interpretation
 Conjoint analysis of ratings
 Discrete choice models
 Prediction
SESSION 4: Case Studies

2. Homework:
Homework in this course consists of short answer questions to test concepts and guided
data analysis problems using software.
Guided data modeling problems using software.
Software:
Examples of design and analysis will be shown in various software packages. While the
course text is tuned to Nlogit/Limdepo, no software is required to do the coursework.
Before forming AB Analytics, Mr. Anthony Babinec was Director of Advanced Products
Marketing at SPSS; he worked on the marketing of Clementine and introduced CHAID,
neural nets and other advanced technologies to SPSS users. He has presented at the
AMA's Applied Research Methods Conference and Advanced Research Techniques
Forum, the Sawtooth Software Conference, Statistical Innovation's Statistical Modeling
Week, and numerous professional meetings. He is on the Board of Directors of the
Chicago Chapter of the American Statistical Association, where he has held various
offices including President. He is on the Editorial Board of the "Journal of Targeting,
Measurement and Analysis for Marketing." Participants can ask questions and exchange
comments directly with Mr. Babinec via a private discussion board throughout the
period.
This course takes place over the internet at the Institute for 4 weeks. During each course
week, you participate at times of your own choosing - there are no set times when you
must be online. The course typically requires 15 hours per week. Course participants will
be given access to a private discussion board so that they will be able to ask questions
and exchange comments with instructor, Mr. Anthony Babinec. The class discussions
led by the instructor, you can post questions, seek clarification, and interact with your
fellow students and the instructor.
For Indian participants statistics.com accepts registration for its courses at reduced
prices in Indian Rupees through us, the Center for eLearning and Training (C-eLT), Pune.
For India Registration and pricing, please visit us at www.india.statistics.com.
Email: info@c-elt.com
Call: +91 020 66009116
Websites:
www.india.statistics.com
www.c-elt.com