Conjoint Analysis - 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.

  • Understand Theory and gain hands-on experience with real-world applications.
  • Understand consumer preferences, utility scores, end-to-end model building steps

Prabhakaran SPrincipal Data Scientist

Included in All-Access, one membership for every course.

Lessons
13, in 2 chapters
Video
1 h 24 min
Certificate
On completion

What you'll be able to do

  • Introduction to Conjoint Analysis
  • Designing a Conjoint Study
  • Data Analysis
  • How to Interpret Results
  • Case Studies and Real-world Applications with full python workout

About this course

Complete course on Conjoint analysis. Learn how to do conjoint analysis to help understand how people value different attributes of a product that make up an individual product. Implement in Python with complete code and hand-on analysis.

Course content

2 chapters · 13 lessons · 1 h 24 min

  1. 01Introduction to Conjoint Analysis8 lessons · 38 min
    1. What is Conjoint Analysis5:44
    2. Download Resources1:00
    3. Key components of Conjoint Analysis2:44
    4. Smartphone profiles - Code along14:01
    5. Interpreting the results1:00
    6. Expended version - Code Along7:23
    7. Relative Importance of each attribute4:56
    8. Course Review1:00
  2. 02Choice Modeling5 lessons · 48 min
    1. Choice Model Methodology5:26
    2. Sample data stimulation - Code along10:05
    3. Generate responses - code along19:21
    4. Train the Conjoint Model6:02
    5. Model Interpretation7:04

What you need

  • Basics of Python
  • Foundational knowledge of Data Science
  • High school maths

Who this course is for

  • Data Science Aspirants
  • Data Science Professionals
  • Software/Data engineers interested in quantitative analysis
  • Professionals working with large datasets
  • Data analysts, economists, researchers

Your instructor

Prabhakaran S

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

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 and 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 on-the-job experience. Hope you love it!

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Questions

How do I get this course?

It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.

Can I get a refund?

Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.

Can I learn on my phone?

Yes. Lessons play in the browser on any phone, tablet or computer, and your place is saved for the next device.

I am already a member. Where are my courses?

On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.

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