Conduct a Choice-Based Conjoint Analysis for Netflix with Python

1h 39m 35s
English
Paid

Course description

In this project-based course you'll be put into a scenario to assist Netflix in rejuvenating the streaming service's growth using Data Analysis and Python.

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Instead of the traditional analytics method of surveying users based on individual features, you'll use the Choice-Based Conjoint Analysis method, a type of market research that is grounded in science and analytics and examines consumer preferences in a holistic method.

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#1: Project Introduction

All Course Lessons (21)

#Lesson TitleDurationAccess
1
Project Introduction Demo
02:03
2
Problem Statement
03:21
3
Choice-Based Conjoint Analysis
06:34
4
Python - Directory and Libraries
03:15
5
Python - Preparing Data
02:33
6
Technical Process
01:54
7
Python - Regression Model
03:59
8
Python - Retrieving Partworths
05:56
9
Python - Customizing Visualization
06:26
10
Python - Looking at Specific Drivers
05:17
11
Python - Lollipop Chart
08:39
12
Python - Feature Coefficients
05:47
13
Python - Feature Importance
02:30
14
Python - Preparing Relative Importances
02:57
15
Python - Plotting Tree Maps
07:06
16
Project Update
03:15
17
Interaction Terms
03:33
18
Python - Interaction Terms
05:45
19
Python - Interaction Terms Results
12:45
20
Next Steps
04:36
21
Limitations of Conjoint Analysis
01:24

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