Download Resources
1 min
Key components of Conjoint Analysis
3 min
Smartphone profiles - Code along
14 min
Interpreting the results
1 min
Expended version - Code Along
7 min
Relative Importance of each attribute
5 min
Course Review
1 min
Conjoint Analysis Course - Project Deep Dive
- A comprehensive, practical approach to mastering conjoint analysis for data scientists.
- Understand Theory and gain hands-on experience with real-world applications.
- Understand consumer preferences, utility scores, end-to-end model building steps
Created by Selva Prabhakaran
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11 Video Lessons
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
Introduction to Conjoint
Introduction to Conjoint
analysis
02
Designing a Conjoint
Designing a Conjoint
Study
03
Data Analysis
Data Analysis
04
How to interpret Results
05
Case Studies and Real-world
Case Studies and Real-world
applications with full
Python workout
Course Curriculum
2 Modules | 13 Sessions | 1 hour 19 min Total Time
Introduction to Conjoint Analysis
Sessions: 8 | Time: 38 min
Choice Modeling
Sessions: 5| Time: 41 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts