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Conduct a Choice-Based Conjoint Analysis for Netflix with Python

1h 39m 35s
English
Paid

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.

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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