Module 01 · From Problem to Approach and From Requirements to Collection
Lesson Summary: From Problem to Approach课程总结：从问题到方法
Congratulations! You have completed this lesson. At this point in the course, you know 恭喜！您已完成本课程。此时，您已了解
- Foundational methodology, a cyclical, iterative data science methodology developed by John Rollins, consists of 10 stages, starting with Business Understanding and ending with Feedback.
由John Rollins开发的Foundational methodology, a cyclical, iterative data science方法论，包含 10 个阶段，从业务理解开始，以反馈结束。 - The primary goal of the Business Understanding stage is to understand the business problem and determine the data needed to answer the core business question.
业务理解阶段的主要目标是理解业务问题，并确定回答核心业务问题所需的数据。
- During the Analytic Approach stage, you can choose from descriptive, diagnostic, predictive, and prescriptive analytic approaches, whether to use machine learning with clustering associations.
在分析方法阶段，您可以选择描述性、诊断性、预测性和规范性分析方法，是否使用与cluster关联的机器学习。
- Decision tree classification is a predictive analytics approach that's easy for non-data scientists to implement
决策树分类是一种易于非数据科学家实施的预测性分析方法