Enroll Course: https://www.udemy.com/course/python-excel-mmm/
In today’s data-driven world, understanding the impact of marketing efforts is crucial for business success. Marketing Mix Modeling (MMM) has emerged as a powerful tool for dissecting this impact, and a recent Udemy 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), offers a fantastic entry point into this complex field.
This course, as of early May 2022, was a unique offering on Udemy, being the only Japanese-language lecture that explains MMM using Excel, following closely behind R language tutorials. The primary goal of this course is to help learners grasp the fundamental logic and workflow of MMM through simplified models. It aims to build a strong foundation for those who want to delve deeper into programmatic applications using R or Python.
What sets this course apart is its practical approach. It starts with an Excel-based understanding, which is highly accessible, and then progresses to implementing Ridge Regression using Python. Ridge Regression is a valuable technique for building models while managing correlations between variables, a method also employed in the specialized MMM package, Robyn. This progression from a familiar tool like Excel to the more advanced capabilities of Python provides a well-rounded learning experience.
The target audience for this course is broad and includes:
* **Those struggling with complex MMM software:** If you’re using sophisticated packages but find the underlying logic elusive, this course will demystify the process with simpler data and clear explanations.
* **Professionals looking to apply MMM concepts:** Individuals who want to adapt MMM principles to solve their own business challenges will find the foundational understanding invaluable.
* **Startup growth hackers:** Business professionals in startups utilizing multiple advertising channels for service or app growth will gain actionable insights.
The course promises to equip learners with the foundational skills necessary to perform modeling on their own data. While specific syllabus details were not provided, the overview strongly suggests a hands-on, logic-focused approach that bridges the gap between basic understanding and practical application.
**Recommendation:**
For anyone looking to understand the ‘why’ and ‘how’ behind Marketing Mix Modeling, especially if you’re new to the concept or find existing resources too abstract, this Udemy course is highly recommended. The blend of Excel accessibility and Python’s analytical power makes it a robust learning opportunity. It’s an excellent investment for marketers, data analysts, and business strategists aiming to optimize their marketing investments.
Enroll Course: https://www.udemy.com/course/python-excel-mmm/