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 Title | Duration | Access |
|---|---|---|---|
| 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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