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.

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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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# Title Duration
1 Project Introduction 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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