Marketing Analytics & Retail Business Management using Excel

谢谢你提供这份全面的课程概述。看来这是一个涵盖了Marketing analytics、市场研究和预测技术的丰富课程，适合初学者和有一定基础的学习者。以下是对该课程内容的简化解读：

1. 课程概览 - 这个课程将教授你如何使用Marketing analytics工具和预测模型来理解未来销售可能会发生的变化，这对于制定数据驱动的管理决策至关重要。

2. 基础知识 - 课程开始于了解Marketing analytics、市场研究和预测技术的基础知识。

3. 时间序列分析和预测模型 - 你将学习如何识别数据中的时间模式，并根据这些模式创建预测模型。

4. 数据准备 - 课程教授了如何从原始数据开始，为进行Marketing analytics准备数据。这包括数据探索、单变量分析和多变量分析，以及对异常值和缺失值的处理。

5. 回归模型 - 从简单的线性回归到多元回归，你将学习如何创建这些模型，并解释结果。

6. 特殊事件（如假期销售）的处理 - 课程将指导你如何在预测模型中考虑节日效应、星期几效应等特殊事件。

7. 季节性和趋势分析 - 学习如何识别销售数据中的季节性和趋势，以及如何使用Solver工具来估计这些因素。

8. 市场篮子分析和提升（Lift） - 学习如何分析购物篮子数据，以便更有效地布局商店，从而最大化销售额。

9. 顾客生命周期价值（Customer Lifetime Value, CLV） - 了解如何计算顾客的生命周期价值并对不同场景下的变化进行敏感度分析。

10. Excel技能加强 - 如果你需要提升Excel技能，这个课程将为你提供必要的训练。

这个课程包含了实际的案例研究和Excel技能的加强部分，旨在帮助学习者在工作中立即应用所学知识和技能。如果你对Marketing analytics、市场研究和数据预测感兴趣，这个课程是一个很好的资源。课程推荐的书籍《Marketing Analytics: Data-Driven Techniques with Microsoft Excel》可以作为补充学习材料。

🌟 Overview of Course Review 🌟

The course on "Retail Marketing Analytics" has received an overwhelmingly positive response from recent reviewers, with a global rating of 4.48. The reviews highlight the course's comprehensive and systematic approach to teaching retail analytics, its practical application through hands-on exercises, and its clarity in explaining complex concepts.

Pros:

• Content and Subject Knowledge: The trainer has demonstrated extensive knowledge in the subject area, with content that is both informative and well-structured.
• Practical Application: Real-life problems are covered, providing practical examples that complement marketing terminology explanations.
• Teaching Technique: A teaching pattern is employed that simplifies complex subjects, making them accessible to beginners.
• Relevance and Helpfulness: The course is relevant to current business practices, especially with its focus on Excel, which is a widely used tool in retail analytics.
• Explanations and Examples: Lucid explanations and examples are provided, enhancing understanding and application of the concepts taught.
• Overall View: The course gives an overall view of marketing analytics, which is beneficial for those seeking a career in this field.
• Course Outline and Pacing: The course outline is well-outlined and covers all necessary topics at a pace that allows for comprehension.
• Engagement and Resources: The course includes engaging content and additional resources like bonus sections, which add value to the learning experience.

Cons:

• Video and Audio Quality: Some reviewers pointed out poor sound quality in certain videos, and blurry screens during lecture demonstrations.
• Excel Examples Clarification: While the Excel examples are appreciated, some expect them to be more clear or accompanied by downloadable resources.
• Pacing and Engagement: A few reviewers felt that the course was slow-paced and suggested incorporating more engaging activities or examples.
• Local Market Examples: Some learners believe that using examples related to local markets would enhance the relevance of the course for different regions.
• Subtitles and Captions: The need for clear English subtitles or captions, rather than auto-generated ones, was mentioned, considering the strong Indian accent in the videos.
• Course Resources Completeness: A couple of reviews noted that some Excel files shown in the lectures were not available in the course resources.
• Data Cleaning Explanation: One reviewer was particularly impressed with the explanation of data cleaning, which is a fundamental aspect often overlooked in BI courses.

Additional Notes:

• Some learners recommend this course for those who are new to analytics and retail business management.
• A few reviews suggest supplementing the course content with additional reading, such as the book "Marketing Analytics" by Wayne Winston.
• The anticipation of potential questions and addressing them in the lectures has been acknowledged as a strong point of this course.

Final Thoughts:

The "Retail Marketing Analytics" course is highly recommended for its comprehensive coverage of the subject matter, practical application of concepts, and the clarity with which it's taught. While there are some areas for improvement in terms of video quality, resource availability, and pacing, overall, the course is a valuable asset for anyone looking to delve into marketing analytics, especially with retail-focused content. With the provided insights, the course creators can address the concerns and enhance the learning experience further.