3.1 Understand the basic definitions and concepts of data warehousing 3.2 Understand data warehousing architectures 3.3 Describe the processes used in developing and managing data warehouses 3.4 Explain data warehousing operations 3.5 Explain the role of data warehouses in decision support

1.1 Understand the need for computerized support of managerial decision making 1.2 Recognize the evolution of such computerized support to the current state—analytics/data science 1.3 Describe the business intelligence (BI) methodology and concepts 1.4 Understand the various types of analytics, and see selected applications 1.5 Understand the analytics ecosystem to identify various key players and career opportunities

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（PPT课件，第3版）Chapter 06 Big Data and Analytics

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（PPT课件，第3版）Chapter 04 Data Mining

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（PPT课件，第3版）Chapter 02 Data Warehousing

6.1 概述 6.2 贝叶斯概率基础 6.3 贝叶斯问题的求解 6.4 简单贝叶斯学习模型 6.5 贝叶斯网络的建造 6.6 贝叶斯潜在语义模型 6.7 半监督文本挖掘算法

复旦大学：《商务智能》课程PPT教学课件（商务数据分析）密度聚类——算法详解

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• Web挖掘的概念 • Web内容挖掘 • Web结构挖掘 • Web日志挖掘

复旦大学：《商务智能》课程PPT教学课件（商务数据分析）05 数据挖掘技术方法