Customer Choice Modeling with R

Customer Choice Modeling with R, available at $44.99, has an average rating of 3.45, with 10 lectures, 3 quizzes, based on 37 reviews, and has 371 subscribers.

You will learn about 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. This course is ideal for individuals who are Product Managers or Brand Managers or Marketing Personnel or Market Researchers or Academic Researchers or Students or Customer Relationship Managers or Data Miners or Business Analytics Users It is particularly useful for Product Managers or Brand Managers or Marketing Personnel or Market Researchers or Academic Researchers or Students or Customer Relationship Managers or Data Miners or Business Analytics Users.

Enroll now: Customer Choice Modeling with R

Summary

Title: Customer Choice Modeling with R

Price: $44.99

Average Rating: 3.45

Number of Lectures: 10

Number of Quizzes: 3

Number of Published Lectures: 10

Number of Published Quizzes: 3

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

Product Managers
Brand Managers
Marketing Personnel
Market Researchers
Academic Researchers
Students
Customer Relationship Managers
Data Miners
Business Analytics Users

Target Audiences

Product Managers
Brand Managers
Marketing Personnel
Market Researchers
Academic Researchers
Students
Customer Relationship Managers
Data Miners
Business Analytics Users

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.

Course Curriculum

Chapter 1: Introduction of the Trainer & Agenda of the course

Lecture 1: Trainer Profile and Agenda

Chapter 2: Introduction to Choice Modeling

Lecture 1: Introduction to Choice Modeling & Statistical Techniques

Chapter 3: Basics of Customer Choice Modeling

Lecture 1: Basics of Choice Modeling

Chapter 4: Quantitative Techniques for Choice Modeling: Fundamentals

Lecture 1: Fundamentals of Conjoint Analysis with example

Lecture 2: Fundamentals of Multinomial Logit with example

Chapter 5: Quantitative Techniques for Choice Modeling: Executing on R

Lecture 1: Conducting Conjoint Analysis on R & making predictions of customer choices

Lecture 2: Conducting Multinomial Logit on R

Chapter 6: Facets of Customer Choice & Smart Marketing Strategies

Lecture 1: Facets of Customer Choice & Smart Marketing Strategies

Chapter 7: Quick Recap & Conclusion

Lecture 1: Revision of the course with important points to remember and thank you note.

Chapter 8: Bibliography & Resources for Further Research

Lecture 1: References and resources for future study

Instructors

Decision Quotient
Data Mining and Decision Analytics

Rating Distribution

1 stars: 3 votes
2 stars: 10 votes
3 stars: 7 votes
4 stars: 11 votes
5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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