Customer Choice Modeling with R
What you'll learn
- By the end of the course you will be able to conduct Conjoint Analysis on R.
- You will be able to conduct Multinomial Logit on R
- You will be able to make predictions about customer choices.
- You will be able to conduct market research on product / service attribute choices.
- You will be able to identify "Key Drivers" that drive your brand / product / service in the market.
- You will be able to better appreciate the customer perspective and hence take successful decisions.
Requirements
- Basics of Regression
- R (software)
Description
The course is about understanding fundamentals of customer choice and enable participants to use R for customer choice modeling.
The course contains video lectures, power-point slides and handouts in PDF format.
The course will take approximately 4 hours to complete including study material provided.
The course starts with a basic introduction (video lecture) to customer choice. Section 2 covers basics of customer choice (powerpoint slides and audio instruction). Section 3 explains fundamentals of Conjoint Analysis (powerpoint slides and audio instruction) with worked example. Section 4 is a hands on session on conducting Conjoint Analysis on R (video). Session 5 explains fundamentals of Multinomial Logit (powerpoint slides and audio instruction) with worked example. Section 6 is a hands on session on conducting Multinomial Logit on R (video). Section 7 is a quick recap of the entire course with key points (powerpoint slides and audio instruction). Additional information and Bibliography is provided along with the course (PDF).
Product Managers, Customer Relationship Managers, Marketers, Students, Researchers etc. need to understand their customers' choices better to provide them products and services which they prefer. This course sensitizes them to understand and statistically model customer choices and discover insights for better strategic decision making.
Who this course is for:
- Product Managers
- Brand Managers
- Marketing Personnel
- Market Researchers
- Academic Researchers
- Students
- Customer Relationship Managers
- Data Miners
- Business Analytics Users
Instructor
![Decision Quotient](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 3.1 Instructor Rating
- 33 Reviews
- 348 Students
- 1 Course
Companies are experiencing exponential growth in the data volumes. This data is the key to make critical and accurate decisions.Exponentially changing global market dynamics have posed challenges before the businesses to refine and exploit data to make decision via intelligent prediction and forecasting.
Decision Quotient (DQ) works with companies mine their data to exclude any noise and to allow for more efficient analysis and further assist develop in-house analytical capabilities.
DQ is skillset expand across most popular analytical tools in the market. e.g.: R, SAS, SPSS, etc. Our skillset with various softwares allows us to accommodate budget at all levels and deliver balance of quality and quantity.
DQ is serving clientele across the globe and has experience with various industry sectors. We have executed analytical tool development for risk and fraud analysis, supply chain automation for retail chain and consulting projects for manufacturing, restaurants etc. Refer to few published papers on our website www.de-quo.com
Few examples of solution we have extended to our clients are:
- Customer Choice Modelling
- Customer Churn and Retention
- Customer Loyalty
- Sentiment Analysis
- Text Analytics
- Behavioral & Application Scoring
- Credit and Operational Risk
- Fraud Analytics
- Key Driver Analysis
- Brand Perceptual Mapping and Management
- Catchment Area Analysis for Retail Location
- Dynamic Price Modeling
- Real Time Strategy
- Deception Dectection
- Linguistic Inquiries
- Sustainability Analytics
- Workforce Analytics
- Statistical Process Control
Our principals have experience with operating family owned business, working in small to large companies across the globe.
We look forward to discuss with you, your opportunity to grow your business with more intelligence and less risk.