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via Udemy |
Go to Course: https://www.udemy.com/course/python-excel-mmm/
Certainly! Here's a comprehensive review and recommendation of the Coursera course based on the provided details: --- ### Course Review: Marketing Mix Modeling with Excel and Python on Coursera **Overview:** This course offers an insightful exploration into Marketing Mix Modeling (MMM), emphasizing practical application using accessible tools such as Excel and Python. Aimed at professionals and enthusiasts seeking to understand the core principles behind MMM, the course is particularly valuable in the context of a cookieless digital marketing era, where attribution and performance measurement are increasingly nuanced. **Content & Objectives:** The course provides a foundational understanding of MMM through simplified models and clear step-by-step instructions. It uniquely combines Excel-based demonstrations with intermediate Python techniques, such as Ridge Regression, to illustrate how variables interact within marketing analytics. The course also discusses how to manage multicollinearity among variables — a common challenge in marketing data — by employing correlation reduction strategies similar to those used in advanced tools like Robyn. **Target Audience:** This course is ideal for: - Marketing professionals using complex MMM software but lacking a solid grasp of the underlying logic - Data analysts and marketers wanting to apply MMM concepts to their own datasets - Business owners and startup founders aiming to leverage MMM insights for growth hacking across multiple advertising channels **Strengths:** - Clear, Japanese-language instruction tailored specifically for Japanese learners - Practical focus with hands-on Excel tutorials that can be implemented immediately - Introduction to Python implementations, particularly Ridge Regression, enabling more sophisticated modeling - Bridging the gap between theory and real-world application, making complex concepts approachable **Recommendations:** If you are looking to deepen your understanding of marketing analytics, especially in a simpler context before moving to more advanced software and programming tools, this course is highly recommended. It provides a strong theoretical foundation combined with practical skills that can be directly applied to your work. Whether you are a marketing professional, data analyst, or startup founder, this course will enhance your ability to develop and interpret marketing models effectively. --- **Overall:** This course is a valuable starting point for anyone interested in mastering Marketing Mix Modeling using accessible tools. Its focus on simplicity, combined with practical implementation in Excel and Python, makes it an excellent resource for developing a robust analytical mindset and laying the groundwork for more advanced data-driven marketing strategies. --- Would you like me to help craft a promotional summary or an enrollment encouragement message?
本講座にご興味を持っていただきありがとうございます。当講座の内容はマーケティング・ミックス・モデリングをエクセルとPythonで実行していく講座となっております。＜講座の狙い＞クッキーレス時代における、マーケティング・サイエンスの本丸になるであろう（個人の見解です）、マーケティング・ミックスモデリングの解説動画です。なお、2022年５月初旬で、Udemy内唯一の日本語でマーケティング・ミックスモデリングをエクセルで解説するレクチャーです（R言語に次いで）シンプルなモデルを使って、マーケティング・ミックス・モデリングの一連の流れを理解し、その後のRやPythonによるプログラムレベルでの活用に役立てることを目的にした講座となりますエクセルでできるレベル+αとしてPythonによるリッジ回帰を実装します。各変数の相関を抑えつつ、モデルを構築する方法で、マーケティング・ミックス・モデリングのパッケージであるRobynでも実装されているやり方になります＜講座の対象者＞MMMを複雑なパッケージ・ソフトで実行しているものの、いまいち背後のロジックがわからない状況にあり、シンプルなデータでどういうロジックを元に算定しているかを理解したい方MMMの考え方を転用して、自分の業務課題に適用したい方複数の広告チャネルを利用して、自社のサービス・アプリのグロースハックを実施したいスタートアップのビジネス担当者ぜひ、講座を通してより発展的なご自身のデータでモデリングできるための基礎力を身に着けて貰えればと思います！！