ZeroToMastery – Conduct a Choice-Based Conjoint Analysis for Netflix with Python 2025-4
ZeroToMastery – Conduct a Choice-Based Conjoint Analysis for Netflix with Python 2025-4 Downloadly IRSpace
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Conduct a Choice-Based Conjoint Analysis for Netflix with Python, 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. This project-based course provides you with a unique opportunity to delve into real-world market research and data analysis, focusing on consumer behavior for a globally recognized brand, Netflix. The project’s high-stakes, real-world relevance is a motivating factor that will help you identify potential growth opportunities and apply your analytical skills to strategic business decision-making. Not only is this a significant stepping stone for your Data Analytics career, but the thrill of uncovering unexpected insights will give you a sense of accomplishment and highlights the importance of data analysis in business strategy!
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.
Specificatoin of Conduct a Choice-Based Conjoint Analysis for Netflix with Python
- Publisher : ZeroToMastery
- Teacher : Diogo Resende
- Language : English
- Level : All Levels
- Number of Course : 26
- Duration : 2 hours
Content of Conduct a Choice-Based Conjoint Analysis for Netflix with Python
Requirements
- Intermediate knowledge of Business Analytics with Python is required. Don’t have that? Take the Business Analytics with Python bootcamp course now!
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Subtitle : English
Quality: 1080p
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284 MB
