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If you’re interested in understanding the intricate world of marketing mix modeling (MMM) and want to develop a solid foundation using familiar tools like Excel and Python, then 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 is an excellent choice. This course uniquely bridges the gap between theoretical marketing science and practical implementation, making it accessible for beginners and professionals alike.
The course is designed to teach the core logic of MMM, especially in the context of a cookie-less era where data privacy is paramount. It starts with simple models in Excel, providing a clear understanding of the underlying principles, and then progresses to implementing more advanced techniques like ridge regression in Python. This gradual approach ensures learners can grasp the essentials before moving on to more complex models.
One of the standout features of this course is that it is the only Japanese-language course available on Udemy that explains MMM using Excel, making it highly valuable for Japanese-speaking students or professionals seeking to deepen their knowledge without language barriers. The course also emphasizes practical skills, such as understanding variable correlations and constructing robust models, which are directly applicable to real-world marketing challenges.
Whether you are a startup marketer, a data analyst, or someone managing multiple advertising channels looking to optimize your campaigns, this course offers valuable insights into how marketing mix models work. The instructor’s approach simplifies complex concepts, making them approachable and actionable.
I highly recommend this course to anyone looking to enhance their data modeling skills, understand the logic behind MMM, and leverage Excel and Python for smarter marketing decisions. It’s an investment in your professional development that will pay off through improved decision-making and more effective marketing strategies.
Enroll Course: https://www.udemy.com/course/python-excel-mmm/