English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 21 Lessons (1h 39m) | 272 MB
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.
WHAT YOU’LL LEARN
- Gain hands-on experience in applying choice-based Conjoint Analysis for market research, focusing on understanding holistic consumer preferences.
- Delve into real-world data analysis, using Python to explore consumer behavior for Netflix, a globally recognized brand.
- Identify growth opportunities for Netflix by applying analytical skills to strategic business decision-making.
- Experience the thrill of uncovering unexpected insights, emphasizing the critical role of data analysis in shaping business strategy.
Table of Contents
1 Project Introduction
2 Problem Statement
3 Choice-Based Conjoint Analysis
4 Python – Directory and Libraries
5 Python – Preparing Data
6 Technical Process
7 Python – Regression Model
8 Python – Retrieving Partworths
9 Python – Customizing Visualization
10 Python – Looking at Specific Drivers
11 Python – Lollipop Chart
12 Python – Feature Coefficients
13 Python – Feature Importance
14 Python – Preparing Relative Importances
15 Python – Plotting Tree Maps
16 Project Update
17 Interaction Terms
18 Python – Interaction Terms
19 Python – Interaction Terms Results
20 Next Steps
21 Limitations of Conjoint Analysis
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