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.
Read more about the course
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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