Chapter 4- Learning objectives Describe the types of studies and their purposes Exploratory Descriptive ausa Predictive Explain the differences between data sources Primary Secondary Internal versus external Differentiate between sampling designs
S-Plus石油城市数据框架 石油的月超额回报,包含股票和市场。 SUMMARY: The oilcity data frame has 129 rows and 2 columns. The sample runs from April 1979 to December 1989. This data frame contains the following columns VALUE
Chapter 5 Data Link Layer Computer Networking: A Top Down Approach Featuring the Internet The PowerPoint Slides are based on the material 2nd edition. provided by Jim Kurose, Keith Ross J.F Kurose and K.W. Ross
《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（习题，原书第4版）chapter 4 Predictive Analytics I：Data Mining Process, Methods, and Algorithms
《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（习题，原书第4版）chapter 3 Descriptive Analytics II：Business Intelligence and Data Warehousing
《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（习题，原书第4版）chapter 3 Descriptive Analytics II：Business Intelligence and Data Warehousing
《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（习题，原书第4版）chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
《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（习题，原书第4版）chapter 2 Descriptive Analytics I：Nature of Data, Statistical Modeling, and Visualization
《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（习题，原书第4版）chapter 2 Descriptive Analytics I：Nature of Data, Statistical Modeling, and Visualization
《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（习题，原书第4版）chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
