Business Analytics: Excel, Stats & Looker Studio [3-in-1]

看起来您已经详细描述了这个业务分析与数据可视化的课程内容，包括使用MS Excel和Google Data Studio (现在称为Looker Studio)的实践应用，以及统计学的基础知识到高级概念的全面涵盖。这个课程旨在为学生提供实际的工具和技能，以便在职场中解决现实世界的业务问题。

如果您有任何关于课程内容、附带的课程材料、练习试卷或任何相关问题的疑惑，您可以随时在课程内发布问题或直接联系我们。这个承诫体现了课程及其教师对于学生学习经验的重视。

以下是课程概要：

1. Excel for Data Analytics: 学习使用Excel进行数据相关操作，包括计算、转换、匹配、过滤、排序和聚合数据，并创建可视化图表以发现数据模式。

2. Google Data Studio (Looker Studio) for Data Visualization: 学习如何使用Google Data Studio创建洞察力强的动态报告，包括制作仪表板并与团队分享。

3. Statistics Foundations for Business Analysts: 掌握业务数据分析的核心统计概念，如概率论和不同的概率分布。

4. Statistical Decision Making: 学习进行样本测试，如假设检验等高级统计概念。

5. Optimizing Business Models: 使用Excel工具如Solver、目标寻求和场景管理器来解决常见的业务问题。

6. Preprocessing Data for ML models: 学习数据准备步骤，包括业务知识理解、数据探索、单变量和双变量分析、异常值处理、缺失值填充、变量变换以及相关性分析。

7. Linear Regression Model for Predicting Metrics: 学习简单线性回归和多元线性回归的基础理论，并通过实践操作来运行和解释结果。

这个课程为您提供了一系列的知识和技能，以便在业务分析和数据可视化方面发挥重要作用，并期望在工作中立即看到实际效益。点击“立即报名”按钮，我们很乐意见到您在课程第一节的你！

祝您学习愉快，Cheers!

• Start-Tech Academy

Course Review Synthesis

Overall Rating: 4.59/5.0

Introduction

This review synthesizes the feedback from recent course participants, providing a comprehensive overview of the course's strengths and areas for improvement. The course has been well-received, with a high global rating and insightful individual reviews.

Pros:

• Detailed Content: The course is comprehensive and explains concepts in great detail, making it beginner-friendly. Students find it easy to understand the material presented. (Review 1)

• Real-World Application: The course demonstrates practical uses of Excel and Google Data Studio, particularly in data analysis, which is highly beneficial for students. (Review 2)

• Engaging and Practical: The course is described as fantastic with clear explanations that make statistical concepts understandable. It includes a great bonus of guiding students through the practical use of Data Studio. (Review 3)

• Practical Implementation: The learning process is enjoyable, with the course effectively teaching the most used knowledge of statistics and their practical implementation in Excel and visualization in Google Data Studio. (Review 4)

Cons:

• Language Clarity: Some students found the language used in the course to be less than clear, requiring them to listen repeatedly to fully grasp the content. It is suggested that the language could be improved for better understanding. (Review 5)

• Content Completeness: There are indications that some topics might be left out or not as thoroughly covered as others, which could lead to a gap in knowledge for some students. (Review 5)

Suggestions and Recommendations:

• Content Updates: It is recommended that the course content and slides are updated to reflect the most current information and practices, ensuring that students receive the latest knowledge and techniques. (Review 4 and Review 6)

• Language Improvement: To enhance the learning experience, it would be beneficial to revise and possibly re-record sections of the course where language clarity is an issue. (Review 5)

Conclusion

The course is highly effective in teaching Excel and Google Data Studio for statistical analysis and visualization. It is recommended for aspiring business analysts due to its practical approach and clear explanations. With some improvements on language clarity and content completeness, this course could be even more valuable to its participants. (Reviews 1-6)

Note: The course's success is evident in the high rating it has received from users, but there is a clear need for attention to language clarity and ensuring all topics are covered thoroughly to maintain the highest standard of educational content delivery.