Enroll Course: https://www.udemy.com/course/python-excel-mmm/
In today’s data-driven world, understanding how your marketing efforts translate into tangible results is paramount. The course “【エクセル＋Python】マーケティング・ミックス・モデリングのロジックを理解” (Understanding the Logic of Marketing Mix Modeling with Excel + Python) on Udemy offers a compelling approach to demystifying Marketing Mix Modeling (MMM), especially in the evolving cookie-less era.
This course positions MMM as a cornerstone of marketing science, and for good reason. It aims to provide learners with a solid grasp of the underlying logic behind MMM, using both Excel and Python. As of early May 2022, it stood out as one of the few Japanese-language courses on Udemy explaining MMM with Excel, following closely behind R language-based courses.
The curriculum focuses on building a foundational understanding through simple models. This approach allows students to grasp the entire MMM process, paving the way for more advanced applications in R and Python. A key highlight is the practical implementation of Ridge Regression in Python, a technique that helps manage correlations between variables and build robust models. This method is also utilized in popular MMM packages like Robyn.
Who is this course for? It’s ideal for individuals who have worked with complex MMM software but struggle to understand the core logic. If you’re looking to grasp how calculations are made with simpler data or wish to adapt MMM concepts to your own business challenges, this course is a great starting point. It’s also highly relevant for startup business professionals aiming to growth-hack their services or apps through multiple advertising channels.
By completing this course, you’ll gain the foundational skills necessary to confidently build your own models with your specific data. It’s a valuable investment for anyone looking to deepen their understanding of marketing analytics and drive more effective marketing strategies.
Enroll Course: https://www.udemy.com/course/python-excel-mmm/